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
- Maastricht University (UM)
- Tallinn 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
- 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
- 67 more »
- « less
-
Field
-
important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
-
. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https
-
Qualifications Education: ABD status by start date, PhD preferred by start date in a field relevant to the research being conducted, such as computer science, artificial intelligence, machine learning
-
Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
-
the development and application of industrial ecology methods, as well as the use of large data sets and scientific computing in industrial ecology. We focus on understanding resource use and
-
are interested in combining disciplinary knowledge with the skills of a data scientist and working at the interface of bioinformatics, medical informatics, databases, data mining, machine learning, applied
-
research experience in e-health, digital health or a related field experience of, or a documented interest in, machine learning, AI methods or large language models (LLMs) in clinical or health-related
-
individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal of understanding biological systems in their entirety. The study of biomolecular systems poses
-
will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High