49 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at University of Copenhagen in Denmark
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the Department of Immunology and Microbiology, Faculty of Health and Medical Sciences. This role involves developing and applying advanced bioinformatics algorithms to investigate the functional diversity
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of collections care across multiple museum sites. This role is integral to maintaining high standards of preventive care and contributes to the museum’s mission of safeguarding its nationally renowned cultural and
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synthetic biology. Further information on the Department is linked at (https://www.science.ku.dk/english/about-the-faculty/organisation/ ). Inquiries about the position can be made to Assoc. Prof. Johan
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In a context of multiple global crises–COVID-19, increased inequality, and climate change–citizens are looking to political leaders and the state to solve problems and protect them. The increased role
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dynamic and international research environment. Our research facilities include top-notch optics laboratories and access to a world-class cleanroom. Principal supervisor is Prof. Albert Schliesser (email
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research and development to prevent airborne epidemics. NIVI comprises two entities working towards a common mission: NIVI Research Center (NIVI-R): A state-of-the-art research center anchored at
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/research/env_chem_phys/ac/). The centre operates on multiple levels in the value chain, going from fundamental research to education and application of analytical methods, often in collaboration with
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Senior Analytical Chemist/Platform Manager in mass spectroscopy and chromatography – LC-MS and GC-MS
production intermediates. The Senior Analytical Chemist will be the Platform Manager in charge of running and developing the platform, assisted by a dedicated and experienced full-time technician and a part
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high-throughput clinical proteomics workflows. This includes hands-on involvement in sample preparation, method development, data analysis, and quality assurance for large-scale proteomics studies
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The center for pharmaceutical data science education is a joint effort by seven departments at two universities to raise the data literacy of people discovering, developing and helping the right