263 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" research jobs in Denmark
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
supervisor (Henrik Toft Sørensen). Additionally, note that it is a prerequisite that the PhD candidate is enrolled as a PhD student at Aarhus University Graduate School of Health ( http://phd.health.au.dk
-
, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
-
, public administration, or a related field. Who we are The position is part of the POLSAFE project, led by Jesper Asring Hansen, Associate Professor at Aalborg University (profile: https://vbn.aau.dk/da
-
of extrusion systems, reinforcement strategies, construction detailing, and construction scale experiments. RA3) Machine Learning and Optimisation for Digital Construction: Data-driven and simulation-based
-
(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Applicants have to find a supervisor at SDU Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU
-
be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
-
employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
-
information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
-
. Further information Further information may be obtained from Prof. Ivan Mijakovic: ivmi@biosustain.dtu.dk You can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are
-
The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites