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and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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proficiency for both written and verbal communication. Knowledge of French, German and/or Luxembourgish is not required. We offer Multilingual and international character. Modern institution with a personal
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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team