40 software-formal-method-phd Fellowship positions at University of Michigan in United States
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consult with our multi-disciplinary team of scientists, developers, and clinicians. Write manuscripts to summarize the research findings Be an expert on the latest machine learning techniques, methods, and
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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bioanalysis method development, validation, and samples analysis to clinical studies, which focus on a phase 1 single dose study to evaluate the pharmacokinetic and local GI drug release/dissolution of new drug
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, revenge and forgiveness, information disclosure, and impression management. Our lab uses mixed methods: incentivized behavioral experiments, hypothetical vignette scenario studies, NLP and computational