440 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Harvard University
- Technical University of Denmark
- University of North Carolina at Chapel Hill
- Aalto University
- Forschungszentrum Jülich
- Monash University
- University of Copenhagen
- University of Oslo
- AALTO UNIVERSITY
- Chalmers University of Technology
- Lulea University of Technology
- Duke University
- ETH Zurich
- University of Helsinki
- University of Sheffield
- Helmholtz Association of German Research Centres
- Linköping University
- University of Pennsylvania
- University of Vienna
- Arizona State University
- Charité - Universitätsmedizin Berlin
- Ghent University
- NEW YORK UNIVERSITY ABU DHABI
- Nanyang Technological University
- UNIVERSITY OF HELSINKI
- University of Florida
- Aalborg University
- BI
- BI Norwegian Business School
- Blekinge Institute of Technology
- Bryant University
- CEA
- Heidelberg University
- Indiana University
- Luxembourg Institute of Science and Technology (LIST)
- Mathjobs.org
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of Leeds
- University of Lund
- University of South Carolina
- University of Southern Denmark (SDU)
- University of Texas at Arlington
- VIB
- Aarhus University
- Aston University
- Duke Kunshan University
- EPFL
- Georgetown University
- Institut Pasteur
- Institute of Molecular Biology gGmbH (IMB)
- Linnaeus University
- National Aeronautics and Space Administration (NASA)
- OSU
- Roskilde University
- SciLifeLab
- Stanford University
- UiT The Arctic University of Norway
- Umeå University
- University of Glasgow
- University of Graz
- University of Luxembourg
- University of Manchester
- University of Michigan
- University of Southern Denmark
- University of Tennessee at Chattanooga
- University of Utah
- University of Washington
- Yale University
- Zintellect
- <span lang="en">Constructor University Bremen</span>
- <span lang="en">German Center for Neurodegenerative Diseases (DZNE)</span>
- <span lang="en">Leipzig University</span>
- <span lang="en">TU Berlin</span>
- <span lang="en">TUD Dresden University of Technology</span>
- <span lang="en">Universitätsklinikum Hamburg-Eppendorf</span>
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- Aarhus University (AU)
- Abertay University
- Australian National University
- Biological Sciences Division - The University of Chicago
- CUNY-Baruch College
- California Baptist University
- Coastal Carolina University
- Dalhousie University
- Eindhoven University of Technology (TU/e)
- Empa
- European Space Agency
- Flinders University
- Fraunhofer-Gesellschaft
- German Cancer Research Center in the Helmholtz Association (DKFZ)
- Heinrich Heine University Düsseldorf
- Howard Hughes Medical Institute
- Illinois State University
- Inria
- King Abdullah University of Science and Technology
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leibniz-Institut für Astrophysik Potsdam (AIP)
- Martin-Luther-Universität Halle-Wittenberg
- Max Planck ETH Center for Learning Systems
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Earth Sciences
- Statistics
- Environment
- Chemistry
- Education
- Psychology
- Social Sciences
- Mathematics
- Electrical Engineering
- Physics
- Materials Science
- Humanities
- Business
- Economics
- Philosophy
- Arts and Literature
- Law
- Linguistics
- Design
- 13 more »
- « less
-
applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying computational
-
( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
-
( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
-
-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical
-
areas such as statistical modeling, machine learning, intensive longitudinal data analysis, micro-randomized trial design, natural language processing, Al applications in digital health, and real-world
-
Instructions Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu/). Review will begin on November 1, 2026; applications will be reviewed on a rolling
-
Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including temporal data
-
infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
-
, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: The Research
-
eine Verlängerung auf insgesamt maximal 4 Jahre möglich. Über das Team Werden Sie Teil der Forschungsgruppe „Responsible Machine Learning (ML)“ an der Fakultät für Informatik. Unter der Leitung von