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development, data acquisition, and bioinformatics analysis. The successful candidate will oversee the operation, maintenance, and optimization of LC-MS/MS, GC-MS, and other mass spectrometry platforms, while
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metabolic fingerprinting and aerobic/anaerobic culturomics. Data processing and analysis is supported by the University’s Bioinformatics Core Facility. Examples of current projects are available at Horse
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rail service There are many additional perks & programs with the CU Advantage . Qualifications: Minimum Qualifications: Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data
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collegial and collaborative interdisciplinary scientific group, with strengths in neuroscience, cancer research, structural biology, epigenetics, cellular optogenetics, glial biology, and bioinformatics. We
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
cancer. The Core Facility Bioinformatics and Statistics (CF-BIOS) at Helmholtz Munich is part of the SPACETIME project, an EU consortium studying how spatial cellular organization changes with disease
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Tech, including PhD programs in Bioinformatics; Quantitative Biosciences (QBioS); Algorithms, Combinatorics, and Optimization (ACO); Computational Science and Engineering (CSE); and Machine Learning (ML
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biology, genetics, single-cell and spatial transcriptomics, advanced imaging, and bioinformatics. The main objective will be to identify the gene networks involved in muscle morphogenesis, reconstruct
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collaborating with individuals inside and outside of your team Education and training You hold a Master’s or a PhD in bioinformatics or related fields Languages You are fluent (oral & writing) in English
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, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications An undergraduate or master’s degree in computer science, data science, artificial intelligence, bioinformatics
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research efforts in the lab, and also be involved in training new lab members in these techniques. Computational approaches will include AI/ML approaches, protein design methods, bioinformatics, and data