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816 search results for “machine archeologie” in the Public website

• 
  Md Faysal Tareq PhD candidate

  Faculty of Science

• 
  Lifeng Han Lecturer

  Faculty of Science

• 
  Felix Frohnert PhD candidate

  Faculty of Science

• 
  Roozbeh Siyadatzadeh PhD candidate

  Faculty of Science

• 
  Mert Yazan PhD candidate / self funded

  Faculty of Science

• 
  Vasilii Bokov PhD candidate

  Faculty of Science

• Algorithms for quantum software Research project

  Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…

• Previous SAILS Workshops SAILS

  SAILS likes to occasionally organise workshops about topics that relate to our programme. On this page you can find more information about previous workshops.

• The Saint-Servatius complex in Maastricht Research output

  The Vrijthof excavations (1969-1970)

• Goedereede-Oude Oostdijk Research output

  Jasper de Bruin, Guus Besuijen, Hans Siemons & Jeroen van Zoolingen (2012). De romeinse nederzetting bij het tegenwoordige Goedereede heeft waarschijnlijk een belangrijke functie gehad in de overslag en distributie van diverse goederen, waaronder keramiek en voedingsgewassen. De opgraving van deze nederzetting…

• A multi-isotopic investigation of late medieval Koudekerke Research project

  The aim of this project is to gain a better understanding of daily life, diet, mobility and health in late medieval Zeeland, as well as to test the potential of multi-isotopic analyses on a Dutch assemblage.

• HealthBox Research project

  The Metabolic syndrome affects over 5 million people in the Netherlands. The HealthBox is an initiative from LUMC and NeLL to provide an innovative solution to help prevent and manage this chronic condition.

• Research projects

• Florence Nightingale Colloquium SAILS

  Here you can find the recordings of previous Florence Nightingale Colloquia.

• Capturing dynamics with noisy quantum computers Research output

  Quantum computing represents a fundamentally new computational paradigm, capable of addressing problems that are intractable for classical computers.

• Reduction of single use coffee cups Leiden University Green Office

  The goal is to reduce single use coffee cup use both at the university cafés and cofee machines.

• Data Science & Artificial Intelligence Data Science and Artificial Intelligence (BSc)

• Meet our staff Translation (MA)

• Automated Design and Analysis of Algorithms

  The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

• Publications Global Transformations and Governance Challenges

• Unraveling temporal processes using probabilistic graphical models Research output

  Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

• 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.

• Scientific computing for Drug Discovery in Python and/or R LACDR PhD Portal

  Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

• 
  Aske Plaat Professor

  Faculty of Science

• PA-AutoML Research project

  Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

• Translation Applied Linguistics

  Empirical and experimental research focusing on literary, legal, medical and audiovisual translation.

• Learning from small samples Research output

  Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

• SAILS Lunch Time Seminar: Tom Kouwenhoven Event - 14 September 2026

  Lecture

• Computational Linguistics Linguistics (specialisation) (MA)

  In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.

• OpenML Next: Building the Future of AI-driven Open Science Research project

  OpenML empowers scientists to conduct transparent, reproducible, and collaborative AI-driven research.

• 
  Evert van Nieuwenburg Associate professor

  Faculty of Science

• Week 2: 13-19 January 2019 Netherlands-Flemish Institute in Cairo

• 
  Matt Young Assistant professor

  Faculty of Governance and Global Affairs

• 
  Marjolein Fokkema Associate professor

  Faculty of Social and Behavioural Sciences

• 
  Tom Wilderjans Associate professor

  Faculty of Social and Behavioural Sciences

• 
  Elise Dusseldorp Professor

  Faculty of Social and Behavioural Sciences

• 
  Daniel Vale External PhD candidate

  Faculteit der Rechtsgeleerdheid

• 
  Julian Karch Assistant professor

  Faculty of Social and Behavioural Sciences

• 
  Nuno De Mesquita César de Sá Guest PhD candidate

  Faculty of Science

• 
  Bertram de Boer
• 
  Matthijs van Leeuwen Professor / Director of Education

  Faculty of Science

• 
  Fons Verbeek Professor

  Faculty of Science

• Data Science Research Dossier

  The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

• 
  Jian Wang Visiting researcher

  Faculty of Social and Behavioural Sciences

• 
  Iman Goudarzi PhD candidate

  Faculty of Science

• 
  Yingjie Fan Assistant Professor

  Faculty of Science

• Advancing Learned Algorithms for 2D X-ray Computed Tomography Research output

  This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

• History Centre for Computational Life Science

  Life Sciences Artificial Intelligence Data Science

• Tracing Players Playing Traces: Non/Human Music in Modern and Contemporary Literature Research project

  Musical instruments are multiple things: they are objects but also means of communication; they are technological and also deeply connected to embodiment through the player; and they leave certain cultural traces (Ricoeur 1975/1984). This research project explores how literary texts from the 19th century…

• Van Marum Colloquium: How can machine learning facilitate computational electrochemistry Event - 19 February 2026

  Lecture