24 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at University of Luxembourg
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Applications should include: Curriculum Vitae Cover letter A copy of the PhD diploma or a letter indicating the expected defense date Copy of a publication The name, current position and
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letter - addressing the following questions: (1) How does your background relate to the position? (2) How do you plan to contribute to the research project? (3) How does the position relate to your
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” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving
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will contribute to teaching activities and common projects of the research group in IP law. The doctoral researcher will join a collegial research group comprising several PhD candidates and one
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of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information
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The postdoctoral researcher will be responsible for designing and implementing a practice-oriented monitoring system, as well as collecting and analysing qualitative data within the EvaCQ project
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) indicating reference to the subject areas mentioned above Contact information of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure
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of recent research and projects Sketch of planned research and publication activities (2 pages each) Contact information of at least two referees Early application is highly encouraged, as the applications
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and career progression of our staff. General Information Contract Type: Fixed Term Contract 12 Months Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Campus Internal Title: Postdoctoral
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a