28 parallel-processing-bioinformatics Postdoctoral positions at Nature Careers in Germany
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in a dry lab setting and will involve analyzing newly generated and publicly available genomic datasets. We will use both in-house and published bioinformatic tools, including phylogenetics and methods
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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(electrophysiological) characterization of membrane transport proteins Proficiency in structural biology and/or bioinformatics and/or data-driven protein design Experience with basic molecular biology techniques (PCR
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datasets, ideally complemented by bioinformatics approaches, are welcome. Strong interpersonal and communication skills: You bring excellent interpersonal abilities that enable effective collaboration in a
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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basic research program, our long-term goal is to develop innovative therapeutic approaches to better diagnose and treat human infections. HIRI is a site of the Braunschweig Helmholtz Centre for Infection
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DS-GVO on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical processes
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, macroecology, evolutionary ecology, and process-based modeling. We value interdisciplinarity, discovery-driven research, and a critical approach to modeling assumptions. More information about the group's