Sort by
Refine Your Search
-
Listed
-
Employer
- Aarhus University
- Aalborg University
- Copenhagen Business School
- University of Copenhagen
- Aalborg Universitet
- Aarhus University (AU)
- University of Southern Denmark (SDU)
- Aarhus University;
- Faculty of Medicine, Aalborg University
- Technical University Of Denmark
- University of Copenhagen;
- University of Southern Denmark
- 2 more »
- « less
-
Field
-
independently with ample resources. This position offers a unique opportunity to combine your expertise in mouse metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as
-
the Machine Learning, Artificial Intelligence, or Robotics, reflected through contributions to major conferences (ICLR, IEEE ICRA, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.) Solid mathematical and
-
by the Carlsberg Foundation. SMARTbiomed is a research center with core mission to develop statistical and computational methods focusing on causal inference, risk prediction and machine learning
-
teaching and supervision of bachelor's and master's students in areas related to your expertise. Your competencies We expect you to have: A PhD in electrical engineering, energy engineering, mechanical
-
have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
-
need to have a PhD in marketing, consumer behaviour, psychology, behavioural economics, environmental psychology, or another relevant field. Demonstrated experience designing, fielding and analysing
-
as part of a running team including two PhD students. Your profile Applicants should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field
-
and supervision of students at the bachelor's, master's, and PhD levels. Qualifications for the postdoctoral position Academic qualifications at PhD level in animal or veterinary sciences. Research
-
of the project in collaboration with national and international partners. The position is research-oriented but may involve teaching assignments. Qualifications Candidates must hold a PhD relevant to the academic
-
genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods