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- Recent Ph.D. in chemistry or appropriate related discipline (chemical engineering, materials science, etc.) awarded prior to being appointed. PhD must be awarded no more than four years prior
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incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes occurring at plasma-material interfaces in fusion
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benefits program, which includes: Up to 100% tuition remission for employees and dependents upon eligibility Up to 50% tuition remission for spouses upon eligibility A generous Employer retirement
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Profile of the dept. or college : Materials Science Engineering The Opportunity: The Brown Lab and Petelski Lab in the Department of Materials Science & Engineering are seeking a highly motivated
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. Collaborative work and teaching within the research team (10%) Qualifications Required Qualifications: Education: - Doctoral degree in bioinformatics, biostatistics, computational (micro)biology, genomics
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) therapies for melanoma. This position offers a unique opportunity to work at the intersection of cutting-edge cancer immunotherapy and advanced computational biology. Position Overview: • Full-time
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Job Description Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field
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will beworking in Pediatrics. Position Purpose Under the supervision the lab PI and in consultation with clinical collaborators, perform engineering-based research applicable to cardiovascular disease as
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related fields (e.g., biology, biophysics, biomedical engineering). A very competitive salary as well as substantial material and personnel support will be provided to the postdoctoral fellow leading
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and