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generation and domain decomposition and/or approximation is ever-present for these problems. Aspects of high performance computing (HPC) and open source software development is an aspect of the employment. In
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
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Clinical Sciences (BKV ). MMV carries out research, undergraduate and postgraduate education within Health Sciences. The employment When taking up the post, you will be admitted to the program for doctoral
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-time. Alternatively, if you have a strong software engineering background, you will have the opportunity to fill this 20% effort with additional research engineering work. Your qualifications The work
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application! We are looking for a PhD student in Medical Science, as part of the larger EU Marie Curie MCSA Doctoral Network STEM-CORE. Are you passionate about working with stem cells or stem cell-based
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application! We are looking for a PhD student in Medical Science Your work assignments The project investigates how grief is processed in the brain, how self-related behaviors are affected during periods
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induction. You will combine advanced genetic engineering approaches with survival assays, fluorescence-based techniques in fixed and live cells, single-cell sequencing, and computational bioinformatics
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, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses with a minimum of 240 credits, at least 60 of which must be in
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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, statistics, machine learning, control, computer science, or a related area that is considered relevant for the research topic of the project, or have completed courses with a minimum of 240 credits, at least