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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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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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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
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. The project provides a unique opportunity to use clinically relevant animal models, transgenic mice, in vitro and ex vivo cultures, live cell and tissue imaging, single cell technologies, and bioinformatic
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include: · Ph.D. in life/biomedical sciences or related field required. · Proven research success and publications, preferably in genomics and bioinformatics. · Strong analytical and
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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. Applications will be reviewed on a rolling basis and recruited on a rolling basis also till the positions are filled. Please send your application to bids.admin@yale.edu using the subject line “Bioinformatics
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Discoverer with the CHIMERYS/XlinkX, MaxQuant, Skyline, DIA-NN, Spectronaut), bioinformatics workflow, and emerging applications in the field of proteomics. The Postdoctoral Researcher will work with a team of
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or structural bioinformatics are not encouraged to apply. The successful candidate(s) will have access to state-of-the-art supercomputing resources in Denmark and Europe. Contact: hkhandel@sdu.dk Application
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, or related approaches. Hands-on experience in high-throughput screening techniques for protein interactions and degradation pathways. Familiarity with computational tools for data analysis and bioinformatics