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) and German (desired) High motivation for scientific work and willingness to work in an interdisciplinary team WE OFFER: A broad education and training in the structured graduate programme of our highly
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motivated by working with an industrial partner Collaborative skills, initiative, autonomy, result oriented and capacity to work in an interdisciplinary environment Language skills Fluency in English both
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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-marburg.de/en/fb20/departments/bpc/pharmatoxikol ). The PhD project is funded by the German Research Foundation as part of the Priority Programme SPP 2493 (https://www.uni-saarland.de/forschen/hetcci.html
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skills / experience in e-learning Strong IT user skills, including MS Office and other programs e.g. photoshop High-resolution confocal imaging experience Basic programming skills Excellent knowledge
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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Unexplored inorganic nanomaterials Research Environment Support up to 10 million yen depending on the research plan at the time of arrival is available. Qualifications/Requirements 1. Possess a Ph.D. degree or
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/departments/bpc/pharmatoxikol ). The PhD project is funded by the German Research Foundation and aims to investigate the molecular programs of renal cellular plasticity, which are crucial for kidney repair
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl