Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Monash University
- University of Nottingham
- University of Amsterdam (UvA)
- 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 Oslo
- Utrecht University
- Wageningen University & Research
- Aalborg Universitet
- Amsterdam UMC
- BI Norwegian Business School
- Fondazione Bruno Kessler
- Manchester Metropolitan University
- University of Copenhagen
- University of Tübingen
- 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 Innsbruck
- University of Warwick
- Vrije Universiteit Amsterdam (VU)
- Wrocław University of Science and Technology
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centrum Wiskunde en Informatica (CWI)
- 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
- Radboud University Medical Center (Radboudumc)
- 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 Twente (UT)
- 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
- Graz University of Technology
- Hannover Medical School •
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heidelberg University
- Hertie School •
- IFIC
- IMDEA Networks Institute
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- 90 more »
- « less
-
Field
-
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
-
knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
-
on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired
-
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
-
decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
-
backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
-
Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
-
machine learning. You will develop and evaluate AI-driven visual speech recognition models and contribute to their integration into a smart-glasses prototype. The system aims to convert non-vocalized lip