69 software-engineering-model-driven-engineering-phd-position Postdoctoral research jobs at Aarhus University
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The Department of Mechanical and Production Engineering (MPE) at Aarhus University invites applications for a postdoc position offering applicants an exciting opportunity to join the “Fluid
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We are seeking highly motivated and talented applicants for a 1-year postdoctoral position (with the possibility of 1-2 year extension) in the area of efficient foundation model inference. Join us
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the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work, and email
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technology. Place of work The place of work is at Finlandsgade 22, 8200 Aarhus N, Denmark. Additional information Further information about the position may be obtained from the project leaders. Professor
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developing an independent research profile. Your profile The ideal candidate should preferably have: A PhD in landscape ecology, environmental science, geography, ecology, hydrology, environmental engineering
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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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The Department of Mechanical and Production Engineering, Aarhus University, invites applications for two 1-year postdoc positions (with possibility of extension) offering applicants an exciting
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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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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