82 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
-
the implementation of PT in healthcare: unknown mechanisms of action; lack of clinical gold standards; legal/regulatory obstacles; and ethical/societal challenges. More information can be found on the INTEGRATE home
-
registration number) – in this case, the CPR number must be crossed out. Applicants are encouraged to read the information "How to apply" before applying. If you experience technical problems when uploading
-
programming. The candidate must be independent and fluent in English both oral and written. The position is for a PhD student under the 5 plus 3 program, read more here . For more information about the position
-
at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will
-
academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
-
cell biology, protein chemistry and mass spectrometry, molecular microbiology and biophysics. For further information about the position please contact Professor Brage Storstein Andresen, PhD, FRCPath, e
-
of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in
-
, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
-
data. You will encode prior knowledge of the collisional processes in tokamak fusion plasmas using sophisticated numeric simulation codes, which will enable you to analyze data from tokamak experiments