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Field
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genomics, bioinformatics, or a related field. Previous experience in the analysis of next-generation sequencing data will be considered an advantage. The ideal candidate will have a solid background in
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), immunological techniques, and bioinformatic approaches. Conducting studies using animal mouse models and mechanistic investigations in cell culture Developing an independent subproject in a framework of
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University of Würzburg - NUCLEATE Excellence Cluster | Oettingen in Bayern, Bayern | Germany | 2 months ago
for a PhD position are expected to hold a Master’s degree or equivalent in the life sciences, chemistry, medicine, pharmaceutical sciences, bioinformatics, biotechnology or a related discipline. For a
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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Proficiency in structural biology and preferably knowledge in bioinformatics and/or patch clamp measurements and/or data-driven protein design Experience with basic molecular biology techniques (PCR, cloning
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via email to [email protected] quoting “Postdoc Position in Dexterous End-Effectors for 6G Tactile Tele-surgery” in the e-mail subject line. The position will be filled as soon as possible and
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
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expect: Master’s degree or equivalent in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree
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optimizelibrary preparation for scRNA-seq, snRNA-seq, spatial transcriptomics, and related workflows, while contributing to the bioinformatic analysis, integration, and interpretation of multi-omic datasets. You
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for the acquisition, processing, and analysis of physiological signals and vital parameters (e.g., respiration, cardiac activity, motion) Application and advancement of methods in digital signal processing, statistical