Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Technical University of Munich
- NTNU - Norwegian University of Science and Technology
- University of Warwick;
- CNRS
- Monash University
- SciLifeLab
- University of Amsterdam (UvA)
- University of Innsbruck
- Aalborg University
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- NTNU Norwegian University of Science and Technology
- Wageningen University & Research
- AALTO UNIVERSITY
- ETH Zürich
- KU LEUVEN
- Umeå University
- University of Oslo
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Centrum Wiskunde en Informatica (CWI)
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Queensland University of Technology
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Cambridge;
- University of Copenhagen
- University of Exeter
- University of Nottingham
- University of Tübingen
- University of Vienna
- VIB
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Aarhus University
- Amsterdam UMC
- Chalmers University of Technology
- Deutsches Elektronen-Synchrotron DESY •
- Duke University
- Durham University
- Erasmus MC (University Medical Center Rotterdam)
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Hannover Medical School •
- Harper Adams University
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- International PhD Programme (IPP) Mainz
- Istituto Italiano di Tecnologia
- JOB AD PARTNER jobvertising crossmedia GmbH
- Karlsruhe Institute of Technology •
- Karolinska Institutet, doctoral positions
- King's College London;
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Maastricht University (UM)
- Manchester Metropolitan University
- Max Planck Institute for Sustainable Materials •
- Murdoch University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- National University of Singapore
- Oslo Metropolitan University
- Oxford Brookes University
- RPTU University Kaiserslautern-Landau •
- Reykjavik University
- Saarland University
- Sanquin Blood Supply Foundation (Sanquin)
- Swansea University
- Swedish University of Agricultural Sciences
- Technische Universität Berlin •
- Technische Universität Dresden (TU Dresden)
- Technische Universität München
- The Rosalind Franklin Institute
- The Swedish University of Agricultural Sciences
- The University of Chicago
- Tilburg University
- Umeå universitet
- University of Bergen
- University of Bremen
- University of Cantabria
- University of Groningen
- University of Limerick;
- University of Luxembourg
- University of Oxford
- University of Salford
- University of South-Eastern Norway
- University of Sussex
- University of Twente (UT)
- University of Warwick
- Université Libre Bruxelles
- Uppsala universitet
- Vrije Universiteit Brussel
- jobs.ac.uk
- 90 more »
- « less
-
Field
-
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
-
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
-
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
-
establish a digital route to quantify the segregation behaviour of residual elements at austenite/austenite grain boundaries through atomic-scale simulations, using modern machine learning techniques and in
-
sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
-
, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
-
microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
-
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