Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
of “the countryside” for both urban and rural residents. The PhD position is part of the NWO-funded research programme Fertile Soils, which conducts inter- and trans-disciplinary research into making relationships
-
Precambrian rocks of northern Norway. The project is within the Solid Earth Sciences, Mineral Resources and Geohazards group. The position is for a period of four years. The nominal length of the PhD programme
-
processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
-
meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
-
interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act
-
- Knowledge that shapes society Through robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and
-
The vacancy is within the group of Prof. Barbro Melgert at the department of Molecular Pharmacology, Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University
-
Republic with focus on the historiographical reflection of the interaction between humanities and politics, and on the dialogue between humanities and natural sciences in the 20th and 21th centuries. The position
-
life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
-
Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image or video understanding