245 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Denmark
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and Area of Employment The place
-
interdisciplinary approach combines research in genetics, physiology and pharmacology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the
-
well as at the Faculty of Health and Medical Sciences: https://healthsciences.ku.dk/research/corefacilities/. Driving Discoveries towards Stem Cell-Based Therapies and Regenerative Medicine reNEW is committed
-
organizational and societal challenges. The successful applicants will be expected to teach and supervise students across all levels. Our study programme portfolio includes an MSc in Business Sustainability, a BSc
-
for contributing to the above-mentioned research fields. Teaching The selected applicant must teach and supervise across all levels of degree programmes at DPU, including the master’s degree programme in educational
-
4-year Group Leader (Assistant Professor) Position in Colloidal Chemistry Related to new ESS Ligh...
levels of university education is essential. Accordingly, a successful candidate must be able to teach all topics of introductory chemistry courses. Teaching can be in Danish and English, depending
-
++, Phyton, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in digital energy, and if possible, co-simulation frameworks such as FMI/FMU, will
-
sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
-
, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
-
, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended