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The main research area will be within the field of problem based learning(PBL) in engineering education. The position will be related to the Aalborg Centre for Problem Based Learning in
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presupposes scientific qualifications at PhD–level or similar scientific qualifications in cell biology or in a closely related field. The applicant must be experienced in mammalian cell culture and microscopy
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Clinical pharmacology has always been a quantitative discipline making extensive use of different analytical methods to extract knowledge from data, and the rapidly evolving field of data science
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Danish/Scandinavian labor markets. General information It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at Doctoral School of Social Sciences and
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qualitative and/or quantitative methodological skills who have a scientific background in political science, public administration, international relations, or history. Candidates with alternative scientific
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), contribute to the development of machine learning based algorithms for predicting complications to atrial fibrillation, and implementation of predictive models in the clinic. You will work with key
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. The position is attached to the Section of Medical Biotechnology. Requirements: A master's degree in biotechnology or a closely related field is mandatory. A degree in Food Science and/or Technology is
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solutions to enable data analytics in a federated setting The selected candidate will be part of the Data, Knowledge, and Web Engineering group: https://www.cs.aau.dk/research/data-knowledge-and-web
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outcomes in practical applications, bridging the gap between academia and industry. The Ph.D. candidate is expected to have: Bachelor's degree (or equivalent) in Operations Research, Computer Science
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qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar solid mathematical and analytical skills experience in programming, e.g., in C++, Python