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HPC resources (NAISS) and local GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science
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computing (HPC). Analyze simulation results and publish findings in leading scientific journals and international conferences. Collaborate with industrial and academic partners within Scania Industrial
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-genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics across environmental gradients
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