Sort by
Refine Your Search
-
chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
-
at understanding immune dysfunction that leads to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network
-
algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex optimization problems—often NP-hard and extremely difficult to solve at scale
-
pivotal moment in U.S.-India relations. This role will ensure strategic alignment and collaboration between the Hoover Institution, Tata Sons, and a wide network of internal and external partners towards
-
medical records, insurance claims) Manipulation and analyses of complex high-dimensional data Ability to perform careful data cleaning and preparation, including: identifying and handling data discrepancies
-
-specific networks driving the cellular responses. Given the complexity and dynamic state of signaling networks, the current understanding of their constituents and how they are spatiotemporally regulated in
-
associated storage, management and networking infrastructure, in alignment with applicable university, regulatory agency, and/or contractual security and privacy requirements and instrument governance group
-
on the Stanford campus; we expect SPARC to empower student organizations, elevate the level of work they produce, form a network connecting students, faculty, and external partners, and have an
-
of the selected candidate, budget availability, and internal equity. Pay Range: $73,800-$80,000 The LEarning VAriability NeTwork Exchange (LEVANTE) project seeks a Postdoctoral Scholar to study psychometrics and
-
and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary