Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- University of Innsbruck
- ETH Zürich
- Inria, the French national research institute for the digital sciences
- NTNU Norwegian University of Science and Technology
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- Linköping University
- SciLifeLab
- University of Amsterdam (UvA)
- University of Oslo
- AALTO UNIVERSITY
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Lulea University of Technology
- Luleå University of Technology
- University of Tübingen
- VIB
- Vrije Universiteit Amsterdam (VU)
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Aarhus University
- Amsterdam UMC
- Centrum Wiskunde en Informatica (CWI)
- Chalmers University of Technology
- DIFFER
- Deutsches Elektronen-Synchrotron DESY •
- Duke University
- Erasmus MC (University Medical Center Rotterdam)
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Hannover Medical School •
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- International PhD Programme (IPP) Mainz
- Istituto Italiano di Tecnologia
- Karlsruhe Institute of Technology •
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Maastricht University (UM)
- Max Planck Institute for Sustainable Materials •
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Oxford Brookes University
- RPTU University Kaiserslautern-Landau •
- Reykjavik University
- Saarland University
- Swedish University of Agricultural Sciences
- Technische Universität Dresden (TU Dresden)
- Technische Universität München
- The Swedish University of Agricultural Sciences
- The University of Chicago
- Tilburg University
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet
- University Medical Center Utrecht (UMC Utrecht)
- University of Bremen
- University of Cambridge
- University of Cambridge;
- University of Cantabria
- University of Copenhagen
- University of Groningen
- University of Limerick;
- University of Nottingham
- University of South-Eastern Norway
- University of Vienna
- Université Libre Bruxelles
- Uppsala universitet
- Utrecht University
- jobs.ac.uk
- 66 more »
- « less
-
Field
-
for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
-
welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
-
, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
-
application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
-
on large-scale numerical simulations, instrumented experiments, and onboard robotic data could learn generic representations of local interactions between mobile robots and their environment, enabling
-
learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions
-
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 23 hours ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
-
with health/real grid data or machine learning is beneficial but not mandatory. We Offer One year funded of 3-year PhD position (SIF Doctoral Student Grant). Access to high-performance computing
-
machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification or regression models); familiarity with large language models (LLMs) and other
-
perform both empirical and theoretical work. You will learn how to collect and analyse data within your research area as well as communicate your results at national and international conferences and in