Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Business
- Science
- Materials Science
- Mathematics
- Education
- Environment
- Chemistry
- Electrical Engineering
- Earth Sciences
- Arts and Literature
- Philosophy
- Humanities
- Law
- Sports and Recreation
- Linguistics
- Physics
- Psychology
- Social Sciences
- 13 more »
- « less
-
) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference
-
mechanisms of adaptive and acquired drug resistance, exploring network-level control and feedback in cell signaling systems, identifying novel drug targets and therapeutic strategies, and developing predictive
-
candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our
-
simulation-based benchmarking framework that enables systematic exploration across controlled data-generating processes, explicitly designed to probe the assumptions underlying common unsupervised workflows
-
project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
-
of Biostatistics and Population Health (BPH, https://medicine.osu.edu/departments/biomedical-informatics/divisions/division-of-biostatistics-and-population-health ) in the Department of Biomedical Informatics (BMI
-
competitive medical and dental care programs, generous retirement benefits, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
-
considering how the project manager builds and leads the project team, manages risk, and monitors and controls implementation towards a successful conclusion. This is a non-regular-rank, non-tenure-track
-
for front of the house food production, housekeeping, sanitation, safety, security, cash control, PCI compliance, employee hygiene and uniforms in compliance with appropriate state laws, regulations and
-
on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will