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knowledge for a better world. You can find more information about working at NTNU and the application process here. About the Job We have a vacancy for a full-time three year researcher at the Department
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
Signaling (headed by Dr. Natalie Krahmer) at the Institute for Diabetes and Obesity (IDO) develops and applies organelle-resolved proteomic workflows to investigate the cellular processes underlying
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minimum eligibility criteria for admission. In addition to the minimum eligibility criteria, the candidate should possess the below desirable criteria: - Background in computer science, AI, bioinformatics
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application process here. About the position Are you motivated to develop next-generation research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We
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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Are you motivated to develop next-generation
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about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Do you want
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collaboration and creativity thrive. You will access state-of-the-art core technologies in genomics, proteomics, bioinformatics, imaging, and more We are housed in the heart of Barcelona, with our science having
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Chemistry, Pharmacy, Biochemistry, or related disciplines. Master's degree granting access to a PhD programme. Previous experience in molecular modelling, computational chemistry, computer-aided drug design
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of cellular processes and mechanisms of action of biologically active compounds, as well as knowledge of nanotechnology and/or active compound delivery systems; have laboratory experience and the ability
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, biofilmformation and microbial function. The overall aim is to identify and characterise the mechanisms through which the host shapes the oral microbial ecosystem. The project combines experimental and bioinformatic