858 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Sweden
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advantage Are curious and motivated to learn Contract terms Temporary employment with a start date as soon as possible, ending end of August. What we offer Chalmers provides a cultivating and inspiring
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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valid residence permit before the start date of the studies. The latest possible start date is 26-08-31. More info: https://www.umu.se/globalassets/fristaende-webbar/regelverk/utbildning-pa-forskarniva
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to Stockholm–Arlanda International Airport. More information about the department/division: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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service, or similar circumstances, or other forms of appointment/assignment relevant to the subject area. Application A complete application should include: A cover letter clearly describing your
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 2 months ago
found on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral education in Medical Science comprises carrying out a scientific project and completing at least 30
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trajectories relevant to today’s energy systems and questions of societal preparedness. More information: https://www.umu.se/en/research/projects/the-power-of-the-forest-energy-dependency-and-preparedness-in
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial