445 coding-"https:"-"CMU-Portugal-Program---FCT"-"Inserm" "https:" "https:" "https:" "IMEC" positions in Denmark
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survivors compared to the general population, and to investigate neonatal health outcomes in children born to survivors. Where to apply Website https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1572
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, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code
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. The period of employment is 18 months. Further information Further information may be obtained from Viji Kandasamy, Head of DNA Foundry. You can read more about DNA Foundry at https://www.biosustain.dtu.dk
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supervisor (Henrik Toft Sørensen). Additionally, note that it is a prerequisite that the PhD candidate is enrolled as a PhD student at Aarhus University Graduate School of Health ( http://phd.health.au.dk
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, public administration, or a related field. Who we are The position is part of the POLSAFE project, led by Jesper Asring Hansen, Associate Professor at Aalborg University (profile: https://vbn.aau.dk/da
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Applicants have to find a supervisor at SDU Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU
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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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well as at the Faculty of Health and Medical Sciences: https://healthsciences.ku.dk/research/corefacilities/. Driving Discoveries towards Stem Cell-Based Therapies and Regenerative Medicine reNEW is committed
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2