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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
years. The application deadline for the position is June 1st, 2025. Applicants should apply online via our recruitment system by sending a letter of interest and a CV, as well as indicate at least two
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transforming towards personalized medicine. We have a clear focus on the needs in the life science industry and point towards innovation, new businesses, and scientific services for the benefit of society. The
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according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system/grading-system ) have a weighted grade point average of at least 8.2 on the Danish 7-point grading scale
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the nonlinear interference using energy-efficient signal processing based solutions. The overall goal will be to maximize the information rate and the transmission distance given the energy-consumption constraint
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should: have a weighted grade point average of at least 8.2 on the Danish 7-point grading scale for the bachelor's and master's degree combined or alternatively a weighted grade point average must be
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government agencies. Application and admission requirements To be considered the applicant should: have a weighted grade point average of at least 8.2 on the Danish 7-point grading scale for the bachelor's and
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chalcogenide-based absorbers (Sb₂X₃ compounds, including Sb₂S₃, Sb₂Se₃, and mixed chalcogenides) using these unexplored for this material techniques to develop highly efficient, flexible, and sustainable solar
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according to the Danish 7-point grading scale (https://eng.uvm.dk/general-overview/7-point-grading-scale ) • have a weighted grade point average of at least 8.2 on the Danish 7-point grading scale
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the needs in the life science- and biotech industries and point towards innovation, new businesses, and scientific services for the benefit of society. The department has extensive collaborations with
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for 5+3 applicants. Find the form at the Faculty website . Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website . An official document describing the grading