59 software-engineering-model-driven-engineering-phd-position positions at SciLifeLab in Sweden
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for! We are searching for a Systems developer in service development and operations for Linux at the AIDA Data Hub, belonging to the Department of Science and Technology, based at the Center for Medical
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international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a position as a system developer at
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and motivated PhD student to join an interdisciplinary project that combines computational biology, spatial transcriptomics, and tumor modeling to understand how the aggressive brain tumor glioblastoma
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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Admission to Doctoral (PhD) Studies in the subject Engineering Sciences with specialization in Biomedical Engineering at the Division of Biomedical Engineering, Department of Materials Science and
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Uppsala University, we are announcing the position as DDLS PhD student in Data driven epidemiology and biology of infection. Data driven epidemiology and biology of infection covers research that will
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that change? Then join us in this unique program! At Uppsala university, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology. Data driven cell and molecular biology
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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research to take up a position as assistant professor (associate senior lecturer) in Immunotechnology with focus on Antibody Engineering for Oncology applications. The Department of Immunotechnology engages
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experts in the field of protein engineering, protein production, affinity ligand design and characterization, and machine learning for protein design. This unique PhD position is a 4-year collaborative