Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- CNRS
- Delft University of Technology (TU Delft)
- KU LEUVEN
- Eindhoven University of Technology (TU/e)
- ETH Zürich
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- AALTO UNIVERSITY
- Inria, the French national research institute for the digital sciences
- SciLifeLab
- University of Amsterdam (UvA)
- BI Norwegian Business School
- Fondazione Bruno Kessler
- The University of Chicago
- University of Antwerp
- University of Florida
- University of South Carolina
- Wageningen University & Research
- Aalborg Universitet
- Aalborg University
- Amsterdam UMC
- Ludwig-Maximilians-Universität München •
- University of Copenhagen
- University of Göttingen •
- University of Innsbruck
- Vrije Universiteit Amsterdam (VU)
- Wrocław University of Science and Technology
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IDAEA-CSIC
- Instituto de Sistemas e Robótica (ISR)
- Leiden University
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Maastricht University (UM)
- Northeastern University
- Purdue University
- Radboud University Medical Center (Radboudumc)
- UNIVERSITATEA DIN CRAIOVA
- University of Birmingham
- University of Bremen
- University of Groningen
- University of Luxembourg
- University of Münster •
- University of Nottingham
- University of Oslo
- University of Primorska
- University of Sheffield
- University of Tübingen
- Uppsala universitet
- Utrecht University
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Aarhus University
- Abertay University
- Adam Mickiewicz University
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- BRGM
- Blekinge Institute of Technology
- CMU Portugal Program - FCT
- CNAG
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- Centrum Wiskunde en Informatica (CWI)
- Columbia University
- Consejo Superior de Investigaciones Científicas (CSIC)
- Constructor Knowledge Labs gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- Duke University
- Erasmus MC (University Medical Center Rotterdam)
- European Commission - Joint Research Centre
- Fermilab
- Forschungszentrum Jülich
- Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer
- George Mason University
- Georgia Southern University
- Graz University of Technology
- Hannover Medical School •
- Heidelberg University
- Hertie School •
- IMDEA Networks Institute
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- International PhD Programme (IPP) Mainz
- Istituto Italiano di Tecnologia
- Karlsruhe Institute of Technology •
- Karolinska Institutet, doctoral positions
- King's College London
- LIVERPOOL JOHN MOORES UNIVERSITY
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linnaeus University
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Monash University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Linguistics
- Science
- Chemistry
- Economics
- Materials Science
- Mathematics
- Business
- Electrical Engineering
- Environment
- Arts and Literature
- Earth Sciences
- Education
- Physics
- Psychology
- Humanities
- Philosophy
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
-
want to develop machine learning approaches that not only withstand adverse conditions but actively learn from their own failures – and can you back those systems with rigorous formal guarantees? We
-
machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation
-
, statistical methods, or machine learning is considered a merit. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University´s rules and guidelines
-
longitudinal within-person models, discrete-time survival analysis, and/or explainable machine learning. Each of the three work packages is designed to result in one publication, together constituting a
-
chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
-
archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
into resources that can be used for machine learning. The PhD will therefore investigate multimodal approaches that connect visual sign-language information with textual representations under low-resource
-
learning and deep learning applied to electroencephalography in the context of brain-computer interfaces, including experience with MATLAB and Python and in the design and conduct of experimental studies
-
under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes