Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Susquehanna International Group
- University of Tübingen
- CWI
- Chalmers University of Technology
- DAAD
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Radix Trading LLC
- Technical University of Denmark
- University of Cambridge
- ; University of Oxford
- Aarhus University
- Leibniz
- Linköping University
- MASARYK UNIVERSITY
- Max Planck Institute for the Study of Societies •
- Monash University
- Nature Careers
- The University of Iowa
- University of California Irvine
- University of Groningen
- University of Lethbridge
- University of Liverpool
- University of Potsdam •
- University of Southern Denmark
- Universität Hamburg •
- Utrecht University
- 20 more »
- « less
-
Field
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
-
well as the clinical activities at the Karolinska University Hospital, unique access to international expertise in machine learning, state-of-the-art imaging, diverse patient cohorts, and relevant computational
-
Machine learning Experience is ideally shown through a thesis, seminar papers, or scientific publications. Alternatively, excellent grades in a respective Master’s programme. Strong intrinsic motivation
-
academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
-
, Amsterdam and Freiburg, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were
-
The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal
-
Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
-
particularly valuable. Documented experience with machine learning and biostatistics is also highly meritorious.You can find information about education at postgraduate level, eligibility requirements and
-
you will learn the specific methods you need for your project Feedback from experienced research advisers Excellent research facilities Instruction in English Thesis may be written in English or German
-
world, and with world-class photonic facilities at Monash. "Quantum nanophotonic chip" "Multimode imaging through ultrathin meta-optics" "Advancing optical imaging with flat optics" "Machine-learning