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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
discipline • Proven experience in multi-omics data analysis, variant interpretation, and/or statistical genomics • Extensive knowledge and practical experience of NGS • Experience in the usage of R (including
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historical research Fluency in two languages is required (English and French or German); in addition, advanced knowledge in a third language is required Good digital literacy Ability to meet deadlines and
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
the excitement, knowledge, and skills to make new biological discoveries and use modern tools for genetic and pharmacological manipulation to develop new therapies. Eligibility Applicants should be prospective
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generation of scientists with the skills and knowledge from multiple disciplines to become leaders in childhood hematological malignancy research. The program provides an enriched training experience
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in
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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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knowledge on multi-actor collaboration, networking and bridging, the applicant will conduct ecosystemic analysis and initiate interventions, measure synthesis, dead-ends and resistance and, in comparison with