41 requirements-engineering-"https:"-"https:"-"https:"-"https:" research jobs at Yale University
Sort by
Refine Your Search
-
science, or closely allied fields (or have satisfied the requirements for that degree by the time they are hired). Preference will be given to applicants with prior experience in the physics/engineering and/or
-
Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
-
Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and
-
, and therapeutic engineering. Projects may involve immunotherapy models, CRISPR-based perturbation and screening, mRNA therapeutics and vaccines, protein engineering, systems immunology, and tumor
-
to manuscript preparation. Mentor trainees as opportunities arise and participate in a collaborative, supportive research environment. Required Qualifications PhD (or equivalent doctoral degree) in Neuroscience
-
molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
-
, and molecular profiling to link circuit activity to behavioral and physiological phenotypes. Qualifications Ph.D. (or equivalent) in neuroscience or a closely related field (e.g., biomedical engineering
-
and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
-
debates, nationally and internationally, on digital ethics broadly understood. Proven research experience in digital ethics, technology policy, or the societal implications of digital technologies. A strong
-
We are seeking a postdoctoral associate in intersectional feminist Science and Technology Studies. Preferred focus areas: critical computing/artificial intelligence studies; labor and automation