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). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
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and processes. Our competence center for “Monitoring and Artificial Intelligence” researches and develops innovative AI and monitoring methods across numerous fields of energy infrastructures and
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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to climate neutrality of the power, industry and building sector. This involves empirical, theoretical and numerical methods. For the position, experience with questions relating to electricity market design
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qualified skills highly pursued by key technological players worldwide. The consortium of MATCH doctoral programme represents a multidisciplinary and intersectoral team with vast experience in training and
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with a biological/immunological cell response; Cell culture of immune cells and molecular biological measurement methods (including flow cytometry); Measurement of oxidised proteins using mass
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stepped-care prevention program with the following core components: “Mental health project days”, A digital emotion regulation training, and Tailored e-mental health modules, depending on the individual
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests