99 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P" positions at University of Southern Denmark
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. in the graduation class for the study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome
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focus areas could include, yet are not limited to, improvement of diagnostics, adherence to antibiotic guidelines, infection control with focus on hygiene and screening programs, promotion of cost
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under the EU Chips Act, and other similar programs. The position is open from March 2025, and the specific start date will be agreed with the successful candidates. What we offer A stimulating research
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: Quantum Programming Beyond the Circuit Model” (DFF Sapere Aude) led by Associate Professor Robin Kaarsgaard Sales. Contact information Further information is available from the Head of the Centre, Professor
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programming skills in Python and/or R Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Excellent problem-solving, organizational, and communication skills Demonstrated
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PhD program, you must include a signed letter from your PhD supervisor stating your expected date of completion. Strong collaborative and communication skills and an interest in method development and
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Human Rights is offered in Odense on both the daytime studies and the part-time programme in law. On the part-time programme, classes are held on Saturdays and are streamed and recorded so that students
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. Further information for international applicants about entering and working in Denmark. For further information about the PhD program at the department, read here: https://sdunet.dk/en/enheder/institutter
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of the five leading universities in Denmark, we have rich competence in research and engineering, state-of-the-art infrastructure and education programs to prepare new generations towards the needs
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by