862 zoekresultaten voor “shared cell differentiation” in de Publieke website
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Carel FenijnISSC
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Daphny Ulje-KouerASSC
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Contact
Algemene contactinformatie
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SnelliusNiels Bohrweg 1, Leiden
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Conversation with Dr Graça Machel: intergenerational justice from a human rights perspective
Almost three years after receiving her honorary doctorate, Dr Graça Machel returned to Leiden University. Over the course of two days she spoke with students, researchers, and other interested persons, about human rights – particularly those of women and children – in a world in which these are continually…
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Werken bij het ISSC van de Universiteit Leiden
Werken aan ICT bij een topuniversiteit? Met uitstekende carrièremogelijkheden? Ontdek het werken bij het ICT Shared Service Centre van de Universiteit Leiden.
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The Hague Centre for Digital Governance
De opkomst van het digitale tijdperk beïnvloedt het openbaar bestuur op vele manieren. Digitalisering en data hebben invloed op elk aspect van openbaar bestuur en beleid. Binnen het instituut Bestuurskunde van de Universiteit Leiden, gevestigd in Den Haag - de bestuurlijke hoofdstad van Nederland -…
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Making up Migrants / Disabled: The pasts, presents, and futures of human classifying
Hoe kunnen we op een interdisciplinaire wijze de classificatie van migranten en mensen met een beperking bestuderen en onderzoekers van deze velden samenbrengen om raakvlakken met elkaar te vinden?
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Erik Danen wil tumoren vangen in hun eigen web
Erik Danen speurt met succes naar wegen om tumoren die slecht op medicijnen reageren de pas af te snijden. De hoogleraar Cancer Drug Target Discovery kijkt hiervoor naar de interactie tussen tumorcellen en hun omgeving. Oratie vrijdag 10 mei.
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PhD Positions Mainz
Within the Research Training Group 2304 “Byzantium and the Euro-Mediterranean Cultures of War. Exchange, Differentiation and Reception”, which is financed by the DFG (German Research Foundation), there are at the Johannes Gutenberg University of Mainz 6 positions for doctoral research associates (pay…
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Macrophage cell models for the investigation of Gaucher disease
Promotie
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T-cell gene therapy for low mutational burden cancer
Promotie
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Primary T-cell responses against SARS-CoV-2 in hematological patients
Promotie
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Ferdinand TeichertFaculteit der Wiskunde en Natuurwetenschappen
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Max Fernkorn
Faculteit der Wiskunde en Natuurwetenschappen
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Micha DrukkerFaculteit der Wiskunde en Natuurwetenschappen
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Joey ZuijderveltFaculteit der Wiskunde en Natuurwetenschappen
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Rafaella BuzatuFaculteit der Wiskunde en Natuurwetenschappen
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Cecile HerbermannFaculteit der Wiskunde en Natuurwetenschappen
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Benjamin TakFaculteit der Wiskunde en Natuurwetenschappen
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Yuting WangFaculteit der Wiskunde en Natuurwetenschappen
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Yubin GuoFaculteit der Wiskunde en Natuurwetenschappen
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Daan VlemmingsFaculteit der Wiskunde en Natuurwetenschappen
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Ruben de VriesFaculteit der Wiskunde en Natuurwetenschappen
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Christian SchröterFaculteit der Wiskunde en Natuurwetenschappen
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Nina SchultenFaculteit der Wiskunde en Natuurwetenschappen
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Eliane ZügerFaculteit der Wiskunde en Natuurwetenschappen
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Jingchao WuFaculteit der Wiskunde en Natuurwetenschappen
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Andreea Iosif
Faculteit der Wiskunde en Natuurwetenschappen
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Using insertional mutagenesis to identify breast cancer drivers and therapy resistance genes in mice
In this thesis, we used genetically engineered mouse models to identify genes and pathways that are involved in ILC formation and in the development of resistance to FGFR-targeted therapy.
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Role of non-homologous end-joining in T-DNA integration in Arabidopsis thaliana
Promotor: P. J. J. Hooykaas Co-promotor: B. S de Pater
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Developing systems for high-throughput screening of infectious diseases using zebrafish
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof.dr. A.H. Meijer
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Microglial lipid metabolism: a delicate balance
Microglia support the central and peripheral nervous system by forming the first line of defense against hazardous events. Microglia are increasingly acknowledged as critical players in neurodegenerative diseases, highlighting them as potential therapeutic targets.
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CE-MS for metabolomics: advancing performance and detection sensitivity
The major and ultimate aim of metabolomics is to obtain an answer to a specific biological or clinical question.
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Direct and two-step activity-based profiling of proteases and glycosidases
Promotores: Prof.dr. H.S. Overkleeft, Prof.dr. G.A. van der Marel
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Cancer chess: molecular insights into PARP inhibitor resistance
The clinical potential of applying synthetic lethality to cancer treatment is famously demonstrated by the BRCA1/PARP1 paradigm: a tumor specific defect in BRCA1 – a component of the DNA double-strand break (DSB) repair pathway homologous recombination (HR) – results in a remarkable sensitivity to PARP1…
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Allosteric modulation by sodium ions and amilorides of G protein-coupled receptors
Promotor: A.P. IJzerman
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Transcultural Health Care Utilisation in Serengeti of Tanzania: Towards Applied Ethnoscience in Public Health Management
The research provides insight into disease behavior in both rural and semi-urban areas in Serengeti in Tanzania.
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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Time is of the essence: investigating kinetic interactions between drug, endogenous neuropeptides and receptor
Promotor: A.P. IJzerman Co-promotor: L.H. Heitman
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Allosteric modulation and ligand binding kinetics at the Kv11.1 channel
Promotor: Prof.dr. A.P. IJzerman, Co-Promotor: L.H. Heitman
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Structural characterization of bacterial proteins involved in antibiotic resistance and peptidoglycan biosynthesis
This thesis describes the structural and biochemical characterization of the β-lactamase BlaC from Mycobacterium tuberculosis (Mtb), and the Alr and YlmE proteins from Streptomyces coelicolor A3(2).Mtb is the main cause of tuberculosis.
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Corpora Non Agunt Nisi Fixata: Ligand Receptor Binding Kinetics in G Protein-Coupled Receptors
The present thesis focuses on the pharmacological concept of drug-target interaction, which dates back to the beginning of modern pharmacology.
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Piecewise deterministic Markov processes: an analytic approach
Promotor: S.M. Verduyn Lunel, Co-Promotores: S.C.Hille, O.W. van Gaans
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The structure of a working catalyst: from flat surfaces to nanoparticles
Promotor: Prof.dr. J.W.M. Frenken
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Clavis Aurea? Structure-enabled approaches of identifying and optimizing GPCR ligands
Promotores: A.P. IJzerman, H.W.T. van Vlijmen
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Development of kinase inhibitors and activity-based probes
Promotor: H.S. Overkleeft, J. Neefjes, Co-promotor: M. van der Stelt