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782 search results for “gravitational learning” in the Public website

• What we can learn from hi-tech nature Research output

  Biodiversity in the Netherlands is having a tough time. Professor of Natural Capital Koos Biesmeijer combines research with practical advice: from the greening of industrial parks to solutions inspired by hi-tech nature. Inaugural lecture 9 March.

• Unveiling dark structures with accurate weak lensing Research output

  Improvements of weak gravitational lensing shape measurements are presented and some used for data analysis.

• A study into students' motivation and engagement in problem-based learning in Indonesian Higher education Research project

  What is students’ engagement in problem-based learning (PBL) and case-based learning (CBL) in teacher certification programs?

• 
  Arjen de Vetten Assistant professor

  ICLON

• 
  Philipp Kropf PhD candidate

  Faculty of Science

• 
  I-Fan Lin PhD candidate

  Faculty of Science

• 
  Fatemeh Mehrafrooz Mayvan PhD candidate

  Faculty of Science

• 
  Jens van Bijsterveld PhD candidate

  Faculty of Science

• Tessa Verhoef: 'An algorithm still has a lot to learn from human interaction' The future of AI is human

  If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.

• Learner–learner interaction in digital learning environments: what and how are we measuring? Research output

  Galikyan’s dissertation examines how the multidimensionality of learner­learner interaction data and the multifacetedness of learner-learner interaction itself impact the measurement of learner-learner interaction in digital learning environments.

• Diffusion Analysis in Online Social Networks based on Deep Representation Learning Research output

  With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

• 
  Mathieu Cherpitel PhD candidate

  Faculty of Science

• 
  Jay te Beest PhD candidate

  Faculty of Science

• Enlightening the Primordial Dark Ages Research output

  This thesis is dedicated to the exploration of the primordial dark ages: unknown physics during the earliest stages of the Universe’s expansion that have not yet been directly probed by observations. Cosmic inflation is a burst of exponential expansion of space after the “Big Bang”.

• The learning portfolio as a tool for stimulating reflection by student teachers Research output

  The topic of this study is the portfolio that is being used in a teacher education institute as an instrument for stimulating reflection on their development as teachers by student teachers.

• Multi-functional urban Green space planning based on transdisciplinary learning (MultiGreen)

  Green infrastrucuture (GI) like urban farm and green roofs could provide many beneficial functions in cities. These include for example food production, flood prevention or increasing biodiversity. MultiGreen project aims at developing an integrated modelling tool to support…

• 
  Roeland van der Rijst Professor

  ICLON

• The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment Research output

  This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

• Learning Russian as a second language through allusive (precedential) phrases: corpus-based study Research project

  This PhD project investigates specific types of allusions used by Russian native speakers, namely references to classical Russian literature. The research includes the analysis of 1) how native speakers use allusions, 2) what type of discourse allusions are frequently used, and 3) how we can implement…

• Supporting medical teachers' learning: redesigning a program using characteristics of effective instructional development Research output

  In this research project characteristics of effective instructional development were identified that are appealing to medical teachers and relevant for medical education.

• Urban Waste Learning Hub: Challenge-Based Education in Waste Studies Research project

  How can challenge-based learning in higher education contribute to sustainable urban waste management and support The Hague’s transition to a zero-waste city by 2050?

• 
  Willem Heiser Professor emeritus

  Faculty of Social and Behavioural Sciences

• 
  Isabelle Hoxha Guest

  Faculty of Social and Behavioural Sciences

• 
  Henk Kelderman Guest

  Faculty of Social and Behavioural Sciences

• Identifying and Integrating Interdisciplinary Learning Goals and Methods for Wicked World Problems Research project

  What are best practices for teaching students to engage with 'wicked' problems?

• Probability, Operations, and Dynamics

• Information activities Cultural Anthropology and Development Sociology (BSc)

  Do you want to know more about Cultural Anthropology and Development Sociology and what it is like to study in Leiden? Come to our online or on campus information events.

• Public leaders’ organizational learning orientations in the wake of a crisis and the role of public service motivation Research output

  This study explores public leaders’ organizational learning orientation in the wake of a crisis. More precisely, we study the association between public leaders’ public service motivation and their learning orientation (instrumental versus political).

• Vices of the Learned. Towards a Long-Term History of Scholarly Vices Research output

  Why are professors still warning their students against dogmatism, prejudice, pedantry, and other centuries-old vices? What explains the persistence of these scholarly vices across the ages?

• 
  Nadira Saab Professor

  ICLON

• Serge Rombouts: 'AI is learning from brain scans and helping find a diagnosis' The future of AI is human

  Serge Rombouts is a physicist whose PhD thesis was about functional MRI (fMRI). This visualises activity in regions of the brain. The appealing images of glowing brain regions that emerge from the computer are the result of calculations. According to Rombouts, this isn’t proper artificial intelligence.…

• Marie Curie grant for dark matter News - 22 May 2018

  Leiden Observatory is going to use a new technique to carry out calculations on gravitational lensing measurements. They will do this is the context of research into the formation of elliptical galaxies. Alessandro Sonnenfeld (University of Tokyo) who developed this technique joined the research team…

• Stacked Domain Learning for multi-domain data: a new ensemble method Research project

  The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

• 
  Cosima Nimphy Assistant professor

  Faculty of Social and Behavioural Sciences

• 
  Manel van Kessel PhD candidate

  ICLON

• 
  Ili Ma Assistant professor

  Faculty of Social and Behavioural Sciences

• Alessandra Silvestri Group - The Late Universe

  We are cosmologists, in other words we use physics to study the Universe, how it started and evolved into the structure that we observe around us.

• Knowledge: Language Models for Knowledge Graph Extraction and Ontology Learning Research project

  This PhD project investigates how language models can be used to extract structured knowledge from text in a way that is accurate, robust, and applicable to real-world use cases.

• The use of Deep Learning in the automated detection of archaeological objects in remotely sensed data Research project

  Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

• Child Interethnic Prejudice in the Netherlands: Social Learning from Parents and Picture Books Research output

  The aim of this dissertation is to provide insight in interethnic prejudice of children in the Netherlands and attitudes and ideologies that they are exposed to through two socialization agents (parents and children’s books).

• 'Learning to see, or how to make sense of the skillful things skateboarders do' Research output

  Discover the connection between skateboarding and sensory ethnography in 32 of The Routledge International Handbook of Sensory Ethnography as part of the Multi-modal sensory ethnography.

• 
  Bart Vogelaar Assistant professor

  Faculty of Social and Behavioural Sciences

• 
  Judith Schomaker Assistant professor

  Faculty of Social and Behavioural Sciences

• 
  Carel ten Cate Professor emeritus

  Faculty of Science

• 
  Diego Barbosa Arize Santos Guest

  Faculty of Social and Behavioural Sciences

• 
  Juan Claramunt Gonzalez Scientific information expert

  Faculty of Social and Behavioural Sciences

• 
  Rahul Bandyopadhyay PhD candidate

  Faculty of Science

• Pharmacokinetics Nonlinear BBB Transport, Inter-species Scaling, and Machine Learning Research output

  This thesis focuses on enhancing predictions of central nervous system drug exposure using the LeiCNS-PK3.0, a physiologically based pharmacokinetic model.

• 
  Katharina Riebel Associate professor

  Faculty of Science

• 
  Elise Kortink Guest

  Faculty of Social and Behavioural Sciences