58 human-computer-interfaces-phd "https:" Postdoctoral positions at Aarhus University
Sort by
Refine Your Search
-
electrochemistry must be familiar with catlysis for carrying out chemical transactions must have a PhD degree in Chemistry or similar is expected to have significant experience in flow technology must have
-
. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
-
data, variant discovery and filtering, and downstream population-genetic and evolutionary-genomic analyses. The work will require substantial data processing, quality control and computational
-
Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
-
addition to supporting user operations and SCS, the successful candidate will have the opportunity to pursue a research program under the supervision of the SINCRYS beamline scientist. The commissioning of a new
-
, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
-
investigator: Associate Professor Palle Villesen. Your competences You have academic qualifications at PhD level, for example within the following areas bioinformatics, data science, computer science, or another
-
highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
-
research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has: A PhD in natural sciences, e.g. geology, soil science, microbial ecology
-
are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods range from cell biological over