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qualifications We are seeking a PhD candidate who has a food science or veterinary education and enjoy laboratory work and would like to develop in bioinformatics. If you already have a background in
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interdisciplinary department – specializing in systems and synthetic biology, bioinformatics and data science, and engineering sciences related to microfluidics and microfabrication. The D-BSSE is centrally located
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international work environment with cutting edge technologies and interdisciplinary teams of scientists, including experts in medicine, immunology, genomics and bioinformatics. Exciting and innovative research
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mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied
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) and other stakeholders in the area of bioinformatics and data analysis Perform scientifically rigorous data management and bioinformatic analyses Develop neural network models using modern machine
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2026. Responsibilities: Use genomics and/or bioinformatics to address ecological/evolutionary questions. Research focus to complement that of existing faculty, enabling collaboration and mentoring
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2026. Responsibilities: Use genomics and/or bioinformatics to address ecological/evolutionary questions. Research focus to complement that of existing faculty, enabling collaboration and mentoring
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of the consortium, the focus will be to develop more bioinformatics approaches for the analysis and interpretation of the large multiomics data. Mission Statement Michigan Medicine improves the health of patients
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Chair of Data Science, and seven lecturer faculty members. The faculty are internationally recognized in research areas including software engineering, data science, bioinformatics, machine learning
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FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds