65 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" positions at Nature Careers in Denmark
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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, close working relations, network activities among young scientists, and social activities a workplace characterized by professionalism, equality, and a healthy work-life balance Contact Information
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University with related departments. Contact information For further information, please contact Prof Kim Daasbjerg at +45 23 48 52 49 or kdaa@chem.au.dk or alternatively Associate Professor Behzad Partoon
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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of Decision Support Systems that translate complex spatial data into actionable conservation strategies. The position is time-limited for 3 years but could be negotiated as a 4-year position with reduced
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by the Center for Pharmaceutical Data Science Education (CPDSE). The project aims to get a better understanding of the release and redistribution of hydrophobic drugs from lipid nanocarriers by using
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Langelandsgade 140, 8000 Aarhus C, and the area of employment is the Department of Chemistry, Aarhus University and related departments. Further information about the position may be obtained from Associate
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and