43 scholarship-phd-agent-based-modelling Fellowship positions at University of Michigan
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in the position and outline skills and experience that directly relate to this position. Job Summary The Digital Scholarship Specialist partners with students, faculty, staff, and librarians to enhance
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data
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, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
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* Qualified applicants must have a PhD degree in biology, Life Sciences, Chemistry, Biomedical Engineering, or a related field. They should also have at least 5 years of experience conducting laboratory-based
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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develop AI models to predict and study the tumor evolution and lineages using the multiomic measurements from both bulk, single-cell, and spatial technologies. The lab emphasizes understanding
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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-based interventions for preventing overdose, data modeling, national surveys, policy research, epidemiological research, and health services research on pain, addiction, and overdose. Required
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics