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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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on applying AI and machine learning to molecular design challenges. This position is one of several industrial PhD roles funded by the DDLS program, which supports training in four strategic areas: cell and
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your application! We are looking for a PhD student in Medical Science. Your work assignments Substance use disorders (SUDs) are psychiatric disorders characterized by loss of control over drug intake
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be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School
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identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. The long-term goal of our lab is to enable computer-aided design of
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tasks As a PhD student, you will be part of a research team that combines experimental and computational methods to understand membrane protein transport and signalling processes. The focus is to develop
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with significant contributions to the field both with respect to experimental design and high-performance computing protocols for data analysis, visualization, and interpretation. We also use and develop
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2025 the DDLS Research School will be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be
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of the lab is to better understand and harness GPCR signaling to design safer drugs for patients. The doctoral student project and the duties of the doctoral student The doctoral student project will
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questionnaires and biological samples. The PhD student will manage databases, formulate hypotheses, write analysis protocols, program, analyze data, interpret and present results, and write scientific papers