94 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" positions in Denmark
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(UTC) Country Denmark Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
-of-the-art high-performance computing (HPC) facilities, including Center for Scientific Computing Aarhus (CSCAA) and GenomeDK. Applying for other computing resources on European HPCs (i.e., LUMI through DeiC
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-bacterial electron transfer in these systems. By combining cultivation-based microbiology with electrochemical approaches and high-resolution imaging, the work will directly probe how energy metabolism is
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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around 200 research different aspects of photonics. Research is performed within nanophotonics, photonic nanotechnology, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed
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-performance computing (HPC) facilities, including Center for Scientific Computing Aarhus (CSCAA) and GenomeDK. Applying for other computing resources on European HPCs (i.e., LUMI through DeiC) is supported
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pedagogical training programme for assistant professors The tenure track assistant professor’s performance will be evaluated through annual evaluations. Furthermore, the tenure track assistant professor will be
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performance PhD enrolment: Technical University of Denmark DC7: High-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability assessments PhD enrolment
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modern cybersecurity requirements. Across both projects, the goal is to combine advanced power-electronic control with edge computation and ML so converters and drives can continuously learn from operation
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OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological refinement