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patient clusters and digital phenotypes, leveraging machine learning approaches to identify individuals at high CV risk based on clinical and biochemical markers, immune markers, digital health data (e.g
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entanglement quality depending on experimental parameters, such as speed and efficiency. This will give a holistic overview of the performance of these colour centres, such that they can be operated at the ideal
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microscopy imaging, single particle cryogenic electron microscopy or X-ray crystallography. Solid understanding of proteins and their role in cells. Desire and motivation to succeed in performing experiments
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biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career scientists give us the agility and expertise
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
disciplines, and publish in leading journals Hold a full-time, paid position for 3 years with benefits and a structured PhD training program About the research group You will join the Biomimetics, Biocarriers
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-funded research institute at the Cardiovascular Center is a member of the DFG Excellence Cluster CPI, the German Center for Cardiovascular Research as well as the CRC TRR267 “Non-coding RNAs in
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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understanding of the key factors that affect their performance is limited by the fact that most of the characterisation techniques used in the field obtain average properties of what in reality is an ensemble
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funded by the German federal government and 10 percent by the state of Berlin. Job Description Our laboratory investigate how the nervous system processes sensory information to orchestrate motor behaviour
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Overview The Laboratory for Cellular Metabolism and Metabolic Regulation (Fendt Lab) is a young and dynamic team of researchers performing cutting edge cancer metabolism research with special focus