53 software-engineering-germany Postdoctoral positions at Aarhus University in Denmark
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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
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at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position offering an exciting opportunity to contribute to the work on reactor
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We are looking for a highly motivated postdoctoral researcher to join an interdisciplinary research project on enzymatic PFAS degradation at the Department of Biological & Chemical Engineering of
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protein engineering, characterization of protein interactions by various methods, de novo design of protein binders, integrative structural biology using NMR, SAXS and/or single molecule FRET. Your profile
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GWAS software (e.g., GEMMA, EMMAX, GAPIT, FarmCPU, BLINK). Ability to run mixed linear models, handle covariates, correct for population structure/kinship, and perform quality filtering of SNP data
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oriented toward a small set of countries varying on political descriptive representation of gender, class, and ethnic minorities. The preliminary selection includes Denmark and Germany, with openness to
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum