Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
momentary assessment, and wearable technology in combination with predictive algorithms. This research study is being conducted in collaboration with the RI Resilience Lab at Brown University, led by Dr
-
effects and inform policy Experience in utilizing machine learning algorithms to analyze large datasets and generate predictive insights that support research questions Skilled in managing and analyzing
-
in propensity score matching, and causal inference models to assess treatment effects and inform policy Experience in utilizing machine learning algorithms to analyze large datasets and generate
-
numerical methods for quantum many-body systems, (iii) correlated electronic structure theory, (iv) tensor network algorithms. Applications should be submitted by March 1, 2026 for full consideration
-
term position with a current end date of 08/30/2030 which may be extended based upon available funding. Job Qualifications Education and Experience: Required: PhD degree in genetics, genomics
-
bioengineering and chemical approaches to develop molecular tools to visualize and study the brain. Research in the lab combines electrophysiology, fluorescence imaging, protein engineering, and advanced genetic
-
sample-keeping practice. Education and Experience (Grade 8) Required: Bachelor degree in biology, biochemistry, genetics or related field and 1-2 years’ experience Or, equivalent combination of education
-
, visualization and interpretation of high-content behavior data, 2) performing Drosophila brain dissection, immunohistochemistry and microscopy, and 3) Drosophila husbandry, maintenance and genetics
-
oncology. Research Develop and lead a research laboratory in the Legorreta Cancer Center with a focus on disease-specific oncology, including cancer biology and therapeutics, tumor immunology, tumor genetics
-
of Neuroscience is a new research group focused on defining the functional organization and plasticity of the somatosensory system. We combine molecular genetics, in vivo and in vitro electrophysiology