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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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relationships should then be extrapolated to different ecosystems in European seas, also in support of management efforts. Our team is internationally renowned in the field of trait-based marine modeling. Within
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collaboration across the Berlin biomedical research hub. Job Description investigate mechanisms that maintain and diversify genome stability analyze context-dependent DNA repair processes across different cell
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priming and susceptibility to infections. The project aims at understanding how endogenous nucleic acids can contribute to the basal activation of innate sensors. Our group previously studied the role
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priming and susceptibility to infections. The project aims at understanding how endogenous nucleic acids can contribute to the basal activation of innate sensors. Our group previously studied the role
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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the proposed research fields. The group consists of approximately 17 members at different levels of seniority. Salary is paid according to German TV-L (salary agreement for public service employees). As an equal
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resources. We offer an international and multi-disciplinary environment with strong expertise in the proposed research fields. The group consists of approximately 17 members at different levels of seniority
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courage to contribute both to the development and application of new methods to investigate the dynamics and consequences of hypoxia in vivo in the context of different pathologies Excellent oral and
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and