Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Aalborg University
- Technical University of Munich
- Monash University
- University of Amsterdam (UvA)
- University of Nottingham
- Eindhoven University of Technology (TU/e)
- CNRS
- University of Warwick;
- KU LEUVEN
- ETH Zürich
- Forschungszentrum Jülich
- SciLifeLab
- The University of Manchester
- Inria, the French national research institute for the digital sciences
- University of Birmingham
- University of Exeter
- University of Innsbruck
- University of Oslo
- Utrecht University
- Wageningen University & Research
- Aalborg Universitet
- Amsterdam UMC
- Fondazione Bruno Kessler
- Manchester Metropolitan University
- University of Copenhagen
- University of Tübingen
- Vrije Universiteit Amsterdam (VU)
- AALTO UNIVERSITY
- Durham University
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Queensland University of Technology
- Radboud University
- The University of Newcastle
- University of Basel
- University of Bergen
- University of Groningen
- University of Göttingen •
- University of Twente (UT)
- University of Warwick
- Wrocław University of Science and Technology
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- BI Norwegian Business School
- Centrum Wiskunde en Informatica (CWI)
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IDAEA-CSIC
- Instituto de Sistemas e Robótica (ISR)
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leiden University
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Newcastle University
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Life Sciences (NMBU)
- Tilburg University
- Trinity College Dublin
- UNIVERSITATEA DIN CRAIOVA
- UNIVERSITY OF VIENNA
- Umeå University
- University of Bedfordshire
- University of Bremen
- University of Cambridge
- University of Münster •
- University of Primorska
- University of Vienna
- Uppsala universitet
- VIB
- Vrije Universiteit Brussel
- ;
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Abertay University
- Adam Mickiewicz University
- BAM Bundesanstalt für Materialforschung und -prüfung
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- BRGM
- Blekinge Institute of Technology
- CNAG
- CNR
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- City St George’s, University of London
- Constructor Knowledge Labs gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus MC (University Medical Center Rotterdam)
- Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer
- Hannover Medical School •
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heidelberg University
- Hertie School •
- IFIC
- IMDEA Networks Institute
- 90 more »
- « less
-
Field
-
, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
-
discipline. Essential Good programming skills, preferably in Python/C#. Experience with machine learning, deep learning, or experimental AI evaluation. Interest in secure distributed AI, federated learning
-
, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
-
Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
-
automotive and aerospace electrification. Applications for this PhD position are invited at the Power Electronics and Machines Centre, University of Nottingham. Based in a recently built £18M facility
-
Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
-
for candidates with a background in or demonstrated ability to learn about: Bayesian methods, probabilistic machine learning or inverse modelling. Prospective applicants are encouraged to direct informal inquiries
-
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
-
with a strong background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways
-
develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address