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to the advancement of precision medicine in oncology. A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct
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research spans microbial ecology theory to process engineering, and includes the development of new biotechnological processes. Examples of previous research areas include: Anammox Fermentation Microbial
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the education of teachers, focusing on subject didactics education in physics. Teaching may also include subject didactics education in technology, biology, chemistry, mathematics, or core education subjects
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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the state of soils and waters. The department is responsible for several important research infrastructures in the form of soil chemistry and soil physics laboratories, a computer tomography, a lysimeter
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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department currently has approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have
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: at least 60 second-cycle credits in subjects of relevance to Electrical Engineering, or. a MSc in Engineering in Biomedical Engineering, Computer Science, Electrical Engineering, Engineering Mathematics
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, or contribute directly to the design process by developing new methods, tools, techniques, or reflecting critically on design methodologies. The Department admits doctoral students within four research education