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Systems (ICMS), in which all polymer-related research groups at the TU/e participate. A description of the group can be found here: https://www.tue.nl/en/research/research-groups/polymer-performance-mate
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cell sequencing. Bioinformatics and computational skills are highly desirable, with a focus on experience with single cell and spatial omics datasets. The candidate must have strong written and oral communication
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
ability to work independently as well as collaboratively in an interdisciplinary international research team; Very good command of English (approximately equivalent to CEFR level C1). Preferred
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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“Prediction of response to immunotherapy in melanoma using metabolic signatures of the gut mycobiome”, funded by National Science Centre. Where to apply Website https://system.erecruiter.pl/FormTemplates
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of extension for up to a total of five years, contingent upon satisfactory performance and the availability of funding. Qualifications Basic qualifications 1) Ph.D. in Chemistry, Biochemistry, Biology, Physics
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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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English proficiency (orally and written) is expected. Good dissemination skills are important. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply
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to the Regulations for the Award of Funds for the Implementation of Tasks Financed by the National Science Centre in the Area of Research Projects, as specified in Resolution No. 84/2024 of the NCN Council of 5
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of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised