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to identify transcription-factor master regulators and derive targets for gene editing / TILLING. You integrate multi-omics data to identify genotype-phenotype associations. You ensure FAIR data management
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resolution seagrass maps for the Baltic Sea and validate them with available observational datasets. Provide training data (seagrass maps) to support AI algorithms for testing nutrient and climate scenarios
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at the Hereon Centre investigates the predictability and impacts of climate extremes including the atmosphere and the ocean, in particular of those extremes affecting the coastal realm. The project SOLVe
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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scientific/policy journals. What do we expect from you? Applicants must have a university degree (master/diploma) and a PhD in coastal or marine environmental sciences or a related discipline. Evidence of very
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travel to present at scientific conferences and strengthen inter-lab cooperations Your Profile: University degree (Master) in computer science, physics or a comparable scientific field PhD in one
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of scientific publications and project reports Supervision of PhD students and other students Support in the preparation of third-party funding proposals Support in establishing the institute Your Profile: Master
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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group, led by Prof. Dr. Kristel Michielsen. For more information about the research group have a look here: https://www.fz-juelich.de/en/ias/jsc/about-us/structure/research-groups/qip Your Profile: Master
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? The doctoral degree should have been completed no longer than two years before the time of application. Doctoral students finishing their PhD studies by the beginning of the scholarship are also eligible