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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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immunity through detailed molecular characterization of these disease models. Joanna Rorbach’s lab: Our current research encompasses genetic, structural, and biochemical studies to understand the regulation
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5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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significant computational and systems immunology approach with collaborators. You will join an outstanding, collaborative, and supportive group within the Meyer Cancer Center, the Englander Institute
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The Department of Applied Physics and Electronics at Umeå University is offering a postdoctoral scholarship for a project that aims to develop hollow-core optical fibers for next-generation communication (including 6G). The postdoctoral scholarship is full-time for 2 years, starting December 1,...
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our
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for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models