Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- Forschungszentrum Jülich
- Aalborg Universitet
- Technical University of Munich
- University of Amsterdam (UvA)
- HONG KONG BAPTIST UNIVERSITY
- KU LEUVEN
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leibniz
- Technical University of Denmark
- Analytical Food Chemistry at Technical University of Munich
- CNRS
- Duke University
- Nature Careers
- University of Basel
- University of Copenhagen
- University of Luxembourg
- University of Nottingham
- Wageningen University & Research
- Western Norway University of Applied Sciences
- Aarhus University
- Abertay University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- COPENHAGEN BUSINESS SCHOOL
- ETH Zürich
- Ecole Centrale de Lyon
- Ecole des hautes études en sciences sociales
- Erasmus University Rotterdam (EUR)
- Faculdade de Medicina da Universidade do Porto
- Hannover Medical School •
- IRTA
- Linköping University
- Max Planck Institute for Molecular Genetics •
- NIOZ Royal Netherlands Institute for Sea Research
- NOVA Information Management School (NOVA IMS)
- Tallinn University of Technology
- The University of Chicago
- University College Dublin
- University of Birmingham
- University of Borås
- University of Cambridge
- University of Cyprus
- University of Pittsburgh
- University of South Bohemia
- University of Southern Denmark
- University of Stuttgart •
- University of Twente (UT)
- Uppsala universitet
- Utrecht University
- Vilnius university
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 45 more »
- « less
-
Field
-
. Simulator-based training is essential for preparing maritime professionals, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence
-
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
-
). The lab’s mission is to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer
-
marine ecosystem functioning and thereby climate. The OCS department investigates ocean functioning by means of sea-going expeditions, during which data and samples are collected from the water column and
-
Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
-
more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural
-
, employing multivariate analysis (MVA) and advanced data-driven approaches, including artificial intelligence (AI) methods. The material mapping results will be validated using complementary analytical
-
strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world
-
distribution, telecommunications, transportation of goods and people, Industry 4.0, medicine, intelligent buildings, etc.), but at the cost of a drastic increase in the complexity of the associated design
-
artificial intelligence: ensuring that AI systems are transparent, interpretable and aligned with human needs and values. You will focus on developing, testing and reviewing a methodology to make AI systems