34 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Aarhus University
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. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good
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approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and
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relevant publications. Documented experience with instrumentation to probe aerosol and/or cloud particles. Experience with microscopy is advantageous. Demonstrated skills in computer programming and analysis
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, and nanomedicine. The postdoctoral researcher will collaborate closely with a PhD student and other younger students, contributing to a dynamic and supportive research environment. The candidate will
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. Your profile Applicants should hold a PhD and have a strong background in microbiome studies and bioinformatics expertise for complex data analyses. Who we are The postdoc will be affiliated
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is a natural part of the position. Qualifications PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred A proven publication record in international peer-reviewed
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for Molecular Medicine - performs basic and translational research in neuroscience and brain disorders. We aim at unravelling the mechanisms that explain cellular communication and computation networks in brain
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- 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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The Department of Political Science at Aarhus BSS, Aarhus University, invites applications for one 2-year fulltime postdoctoral position to join a new research programme on interest groups and other
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD