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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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sequence analysis Single cell analysis Protein structure prediction Cancer multiomics analysis Genotype to phenotype mapping You are expected to contribute to strengthen the deep learning focus
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sequence analysis Single cell analysis Protein structure prediction Cancer multiomics analysis Genotype to phenotype mapping You are expected to contribute to strengthen the deep learning focus
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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-of-the-art equipment, facilities, and infrastructure. • A competitive salary and social benefits (e.g., health coverage, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff
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engaged scientific environment at the Section for Arctic Ecosystem Ecology (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/arctic-ecosystem-ecology ). The department is
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to exploit the full potential of algebraic curves in the construction and classification of locally recoverable (LRC) codes. The goal of CREATE is developing in a multidisciplinary team the most suitable
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petrology and/or structural geology. Expectations The appointee will develop their research within their chosen field in collaboration with colleagues both at Aarhus University as well as nationally and
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, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff/getting-settled ) Workplace description POLIMA is located at the University of Southern Denmark in Odense – 1h15min by
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are encouraged to apply, but we especially encourage specialists in the fields of hydrogeology and/or petrology/structural geology. Expectations The appointee will develop their own independent research profile