86 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" scholarships at Nature Careers
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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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ELEGANCE website: https://elegance.dtu.dk/ Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https
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Information about union representatives, see Help for applicants . Application procedure Apply via LiUs webpage for vacancies, https://liu.se/en/work-at-liu/vacancies/28629 . Your application must reach
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omics data. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong interest in translational
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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of novel probabilistic deep-learning models that automatically extract mechanistic and statistical knowledge from your in vivo perturbational omics data. This interdisciplinary atmosphere has been a main
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. Research at the DKFZ is organized into the following programs with a lot of interaction and interdisciplinary PhD projects available across different topics: For more information about the groups and their
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the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based computational modeling
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement