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consortium involvement in the Undiagnosed Diseases Network, Genomic Information Commons, and the Impact of Genomic Variation on Function. We are seeking a skill set in cell culture experiments, including
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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. Position Responsibilities: Develop and implement computational and systems biology approaches for network and hidden driver analysis from spatial omics and single-cell omics data. Collaborate with
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, networking, and conference travel. • A competitive salary and benefits package in accordance with institutional and NIH guidelines. Qualifications Required Qualifications: • A PhD, MD, or MD/PhD in Physiology
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consortium involvement in the Undiagnosed Diseases Network, Genomic Information Commons, and the Impact of Genomic Variation on Function. We are seeking a skill set in cell culture experiments, including
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their own vision and direction for the project in the first 2 years, with the hope that they will build their own niche over time for career independence. In addition, individual grant writing and networking
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patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not require teaching, but it may be possible to get teaching
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skillsConceptualization and designOrganizationPlanningProblem identification and resolutionProject managementResearchStatistical analysisSkills: Machine/Equipment:CalculatorComputer network (department or school)Computer