Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- University of British Columbia
- DAAD
- Nature Careers
- Instituto Superior Técnico
- Universidade de Coimbra
- Université de Limoges
- KNAW
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Faculty of Sciences of the University of Porto
- Ghent University
- Institute of Geodesy and Cartography
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Karolinska Institutet (KI)
- University of Antwerp
- University of Melbourne
- 8 more »
- « less
-
Field
-
at https://www7.in.tum.de/~kretinsk/positions.html Applications online by email to jan.kretinsky@tum.de (subject = "application for position") with attached CV, transcript of records, motivation letter, and
-
PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
communication networks”. TU Dresden and the Technical University of Munich have joined forces to form the 6G-life research hub in order to drive cutting-edge research for future 6G communication networks with a
-
initial or resubmission application. There is no citizenship requirement for K99 applicants. Deadline Month: February, June, & October Description: This program is designed to facilitate a timely transition
-
-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
-
Canada capitalize on the full extent of its tremendous scientific talent by addressing gaps in training, support, and representation. As such, it contributes to the creation and application of health
-
people of the United States of America. Available to graduate students, faculty, professionals and independent researchers, successful applicants conduct research, lecture, or enroll in formal academic
-
but no more than 60 months of postdoctoral research experience (in a research laboratory) at the time of application. Candidates must have at least one first-author publication in a peer reviewed
-
application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and
-
application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM. Technical University of Munich, Institute
-
) • Please understand that we cannot review incomplete applications Website: https://angeladai.github.io/openings.html Schwerbehinderte werden bei im Wesentlichen gleicher Eignung und Qualifikation bevorzugt