212 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" positions at Yale University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Departments of Psychiatry and Biomedical Informatics and Data Science, at the Yale School of Medicine. Currently located at 40 Temple Street, the Y-CPU encompasses over 1,000 square feet of dedicated office
-
Assistant Professor, Computational Biophysics and Biochemistry Yale University: Faculty of Arts and Sciences: Biological Science: Molecular Biophysics and Biochemistry Location New Haven, CT Open
-
, computational, and/or machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches to data science
-
settings. For more details, see https://medicine.yale.edu/biomedical-informatics-data-science/ . Qualifications Applicants must have an M.D. and/or Ph.D. or equivalent degree and have demonstrated excellent
-
endeavors. The motility program currently provides evaluation of esophageal and gastric motility, reflux monitoring, FLIP, and anorectal motility. Qualifications Candidates must be board-eligible or board
-
, neuroscience, psychiatry, cognitive science, computational neuroscience, statistics, applied mathematics, or a related field Strong background in computational modeling of behavioral data Experience with model
-
laboratory (http://www.garglab.org ) uses approaches from genomics, molecular biology, systems biology, and data science to understand cellular heterogeneity. We want to understand how cell systems with
-
limited to stem cell and developmental biology, neuroscience, biochemistry, molecular and cell biology, computational biology and biomedical engineering. Research Focus ● Stem cell and developmental
-
2026 – June 2027 Introduction The Yale Computational Psychiatry Unit (Y-CPU;https://www.neurocpu.org ), led by Dr. Gu, is an integral part of the Center for Brain and Mind Health, The Wu Tsai Institute
-
-throughput functional genomics, and/or computational biology. Candidates should be highly collegial, hard-working, reliable, and curious, with a strong professional track record and excellent written and oral