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(preferably with Python). Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment
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interest and solid foundational knowledge in at least one of the research projects Proven competence in computational design workflows, particularly in Rhino and Grasshopper Knowledge of Python, C#, finite
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field that provides a strong research background for the project. Fluency in English and Python are required. Research experience working with large-scale machine learning projects, extensive research
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supervisor, and co-supervisor as well as a non-academic partner organisation mentor. Fellows have to find and contact their potential main supervisor through SDU’s researchers’ portal ( https
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU for more than 12 months in the 3 years before 28
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/InstituteNational Institute for Public HealthCountryDenmarkGeofield Contact City Odense Website http://www.sdu.dk Street Campusvej 55 Postal Code 5230 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp