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a major research and education center based at Aarhus University hosting 60 senior scientists, ~100 postdocs and ~160 PhD students. The center combines expertise from the disciplines including physics
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components for the 3D-CIRCULAR educational and certification programmes in collaboration with partner institutions. Managing and documenting progress for the second and third programme cohorts. Facilitating
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https://www.biosustain.dtu.dk/research/research-areas/natural-products/computational-protein-engineering If you are applying from
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=yZDS88IAAAAJ More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https://www.biosustain.dtu.dk/research/research-areas/natural-products/computational-protein-engineering If you are applying
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Familiarity with computational drug discovery or molecular modeling Experience with MLOps, reproducibility pipelines, or scalable AI systems As a formal qualification, you must hold a PhD degree (or equivalent
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process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. To qualify you must have passed a PhD or equivalent. Applications will be assessed by
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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of importance for changes in effective populations sizes and genetic diversity patterns. Qualifications Ideally you have a PhD in natural sciences with a strong research background and several years of work
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in Python for scientific data analysis Strong analytical abilities and capacity to work collaboratively in a multidisciplinary team A PhD degree (or equivalent) in chemistry, materials science, physics