Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
adaptive trajectories across generations, and use omics-based approaches to identify mutations or functional shifts linked to improved system performance. You will work closely with collaborators who develop
-
unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
-
Programming skills (preferably Python) will be considered an advantage. Experience with infrastructure economics, carbon markets, or large-scale energy infrastructure planning will be considered an advantage
-
energy production, infrastructure, and end-use consumption. The section is in a phase of rapid growth in both education and research, currently running more than ten large-scale projects. In recent years
-
large-scale health data and advanced epidemiological and statistical methods. Fluency in English (written and spoken) is required. Experience with the Nordic nationwide registers is considered
-
cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery
-
modelling of cooling systems at building or district scale and that you are familiar with methods for performance evaluation of district cooling networks. Experience with techno-economic analysis of district
-
that you have experience with design and modelling of cooling systems at building or district scale and that you are familiar with methods for performance evaluation of district cooling networks. Experience
-
-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
-
-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and