33 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Copenhagen in Denmark
Sort by
Refine Your Search
-
, organisational contribution, external funding, and leadership) are considered a framework for the overall assessment of candidates. Find information about each criterion here: https://employment.ku.dk/faculty
-
, creating impact at all levels while actively promoting the museum’s Vision and Values (https://snm.dk/en/about-museum) . Further details of qualifications required for appointment at the museum are detailed
-
therapeutic repair. Information on the department can be found at: https://ctn.ku.dk/ . Our center Center for Translational Neuromedicine currently has 55 employees and students and is divided into five labs
-
Microbiology, which is part of the Section of Clinical Oral Microbiology. Information about the Department of Odontology: https://odontology.ku.dk/ As associate professor in oral microbiology at the department
-
Attend PhD courses Write scientific articles and your PhD thesis Teach and disseminate your research To stay at an external research institution for a few months, preferably abroad Work for the department
-
here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
-
assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database . Please note that we might ask you to obtain an assessment of your education performed by
-
analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
-
recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Questions For specific information about the PhD fellowship, please contact Shingo Kono (shingo.kono@nbi.ku.dk). General
-
optoelectronics and cryogenic device platforms in the context of artificial neural networks and neuromorphics. Information on the department can be found at: https://qdev.nbi.ku.dk/ Our research Our group conducts