20 energy positions at Stockholm University

PhD student in High Energy Theory and Gravity

questions in high energy theory and theoretical particle physics. Via results about holographic duality, the project may also address quantum descriptions of black holes and emergent spacetime geometry. We

Postdoctoral Fellow in Machine-Learning

associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein Function, Evolution, and Disease.  We are searching for a highly

Postdoctoral Fellow in Machine-Learning

: www.scilifelab.se/data-driven . Project description The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein

PhD student in Biochemistry

for PhD candidates for mechanistic studies of proteins catalyzing biological energy conversion, in particular enzymes responsible for cellular respiratory or photosynthesis. The project is focused on how

PhD student in Biophysics

for PhD candidates for mechanistic studies of proteins catalyzing biological energy conversion, in particular enzymes responsible for cellular respiratory or photosynthesis. The project is focused on how

PhD student in Sustainability Science

to explore whether and how renewable energy transitions in one place could have unintended consequences in other places and at multiple scales. Specifically, the project will examine spillover effects of wind

Researcher in Materials Chemistry

applications, such as electrocatalytic CO2 conversion and energy storage. In addition, the position will saupervise junior researchers and take care of the laboratory routine. Qualification requirements

PhD student in Quantitative RNA Biology

cell biology, integrative biology, and infection and immunobiology. State-of-the art and advanced methodologies are applied in a professional research environment characterized by its well-established

PhD student in Neurochemistry

During Early Human Brain Development". The PhD project is aimed to perform computational analysis of multimodal single-cell and spatial epigenomic analysis. The student will use data analysis approaches

PhD student in Organic Chemistry in the area of Sustainable organic synthesis using mechanochemistry

synthesis methods under mild conditions. By using the unique activating platform of mechanochemistry, byproduct formation can be minimized, and hazardous organic solvents and isolation of high-energy reagents