Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
the research group led by Assistant Prof. Narcis-Adrian Petriman (Petriman group) within the Department of Biochemistry and Molecular Biology (BMB) at SDU. The Petriman group is associated with the ‘Biomedical
-
engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
-
have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine
-
the Faculty of Spatial Sciences at the University of Groningen, in the Cultural Geography unit. Supervisors are Prof. Martijn van der Heide (nature-inclusive rural development and environmental economics) and
-
We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
-
collaborate with local stakeholders. You must also possess: A relevant MSc degree in environmental sciences, physical geography, earth system science, climate studies, agricultural studies, or similar with a
-
Research Environment You will be part of the research group led by Assoc. Prof. Rasmus Siersbæk (Siersbaek group ) at the Dept. of Biochemistry and Molecular Biology (BMB) at SDU. The Siersbæk group is part
-
closely linked to the working group of Prof. Ulf Karsten at the University of Rostock and the overarching program “STB – Shallow Water Processes and Transitions to the Baltic Scale” (STB – Processes in
-
postdoc in the lab. You have: A Master’s in Life Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory
-
Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science