32 parallel-processing-bioinformatics Postdoctoral research jobs at Leibniz in Germany
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evolution iii) Next-generation sequencing and advanced bioinformatics analyses: Conduct genomic analyses to investigate hybridization and adaptation in killifish Perform next-generation sequencing, sequence
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development and evaluation for atomic layer processing Project Background: Design and developing novel precursors for atomic layer processing (ALD, ASD, MOCVD) Implementing, and analysing experiments on both
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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species Perform bioinformatics and computational analyses to identify microbiome-lifespan relationships Apply rigorous molecular biology methodologies to elucidate mechanisms underlying microbiome effects
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parallel seagrass projects What do we expect from you? You have a researcher personality, and your desire to understand our environment is driven by scientific curiosity. Applicants must have a university
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint
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the Department Molecular Metabolism and Precision Nutrition E-Mail: olga.ramich(at)dife.de We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6
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own simulations) identification of critical biogeophysical Earth system processes and feedbacks that shape planetary resilience coordination with the other scientists in the PB-TIP project, within