24 parallel-processing-bioinformatics Postdoctoral research jobs at Aarhus University
Sort by
Refine Your Search
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
twinning for production and process optimization. A first-of-its-kind pilot factory is now based at Aarhus University (AU Viborg), and has been equipped with about 200 sensors and a production management
-
across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
-
determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
-
processes and the interconnected gene expression programs that drive neurodevelopment and contribute to neurodevelopmental disorders. Your job responsibilities As Postdoc in Chromatin and Neural Disorders
-
. Possible tasks include modelling and/or operating bioreactors for conversion of H2 and CO2 to e-methane. A background within microbial catalysis, gas-liquid mass transfer principles, process modelling
-
and practical experience with case study research on local policy customization Fluency in the Danish language since much of the research will be based on process studies of Danish municipalities Who we
-
classrooms in Year 7 and 8 from dialogical, sociocultural and social semiotic perspectives. We focus on students’ observable writing processes in terms of strategies and interactions, their texts, and their
-
activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
-
these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as