Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
-
The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
-
the molecular-genetic foundation for how microbial physiology is shaped by fermentation and formulation processes—and how those processes, in turn, affect the application efficacy of microbial products
-
60 senior scientists, ~100 Postdocs and ~100 PhD students. The center combines expertise and faculty from Physics, Chemistry, Molecular biology and Medicine to carry out world class interdisciplinary
-
. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
-
simulation (e.g., Python, MATLAB). Prior experience with industrial research collaborations and the patent filing process is a plus. Qualification requirements Appointment as postdoc requires academic
-
. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
-
carbon capture simulation through advanced modelling tools—CapSim”. This project aims to improve CO2 capture simulation technology by apply state‐of‐the‐art techniques for evaluation of uncertainties in
-
, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
-
optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured