133 polymer-material-simulation-research Postdoctoral positions at Stanford University
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extension is eligible/applicable Appointment Start Date: Immediately available How to Submit Application Materials: Submit the required materials to the following: SUBJECT LINE: Applicant Name, Dr. DeBoer
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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transplant, RNA Sequencing, viral approaches, and biomaterials Required Application Materials: CV [including education, research experiences, publications, and previous employment] Contact information for 3
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research background are particularly encouraged to apply Required Application Materials: CV Cover letter / Statement Contacts for 3 references Stanford is an equal opportunity employer and all qualified
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critical materials supply chain. Key Responsibilities: Conduct research on the computational design and discovery of novel processing reagents for the selective separation and extraction of critical minerals
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: https://goodmancenter.stanford.edu/education/surgical-education.html (link is external) How to Submit Application Materials: To apply, fill out the online application: https://airtable.com
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, mechanical engineering, or related field. Research experience in robot manipulation, robot learning (imitation, reinforcement learning and /or foundation models) and/or robot perception (vision, depth, touch
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pharmacoepidemiologic methods. Experience with NLP or unsupervised learning methods. Prior publications in relevant fields. Required Application Materials: Cover letter detailing research interests and fit
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environment where animals are used for teaching and research. ● Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present
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)parameter optimization through cross-validation. Observational research methods including interpreting multivariate regression, missing data imputation, propensity score matching, and bootstrap simulations