72 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" positions at Aarhus University
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group, supported by a prestigious LEO Foundation Dr. Abilgaard Fellowship. You will work within a vibrant international team with direct access to state-of-the-art lab platforms (including MACSima
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qualified applicants to apply regardless of their personal background. Project The Ultra:bit project is a collaboration among DR, Centers for Teaching Aids - Denmark, the Centre for Computational Thinking and
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk). Applications including CV, full publication list, references and description of qualifications
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activities are project-based with a solid tradition in cross-disciplinary research and international collaboration. Job description The postdoctoral researcher will work with Dr. Robert Ladwig on developing
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, relevant data science skills, scraping, and coding in R and Python Experience with building and analyzing large datasets 5) Other preferred qualities The ability to independently organize and potentially
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the Entomology and Plant Pathology and Microbiology (PLANMIK) section. More information can be obtained from Dr. Ella Sieradzki, ellasiera@agro.au.dk Application procedure Shortlisting is used. This means
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will be with the Department of Agroecology. More information can be obtained from Dr. Fiona Hay (fiona.hay@agro.au.dk). Application procedure Shortlisting is used. This means that after the deadline
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, JOTA). Ability to work both in cooperation and independently as well as to formulate, verify and execute new ideas. Plus: Ability to implement and test algorithms, code and design statistical experiments
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings