Sort by
Refine Your Search
-
Listed
-
Country
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Education
- Biology
- Business
- Science
- Materials Science
- Psychology
- Linguistics
- Environment
- Chemistry
- Earth Sciences
- Humanities
- Mathematics
- Social Sciences
- Sports and Recreation
- Arts and Literature
- Electrical Engineering
- Law
- Design
- Philosophy
- Physics
- 14 more »
- « less
-
Hotel/Restaurant Management or related field or 15+ years of related experience. Experience in a high-volume multi-unit operation. Must be able to teach and motivate supervisory staff, bargaining unit
-
beyond what is required may be substituted on an equivalent year-for-year basis. Skills: Demonstrated ability to provide strategic leadership and manage complex, multi-functional administrative operations
-
general administrative support to the wider Registry team. Further details about the Registry can be found on our website: https://www.lshtm.ac.uk/study/studentservices/registry-services You should be
-
Engineer V - Electrical and Computer Engineering (ECE) Posting Number req25745 Department Electrical and Computer Engr Department Website Link https://engineering.arizona.edu/majors/electricalcomputer
-
external funding, promoting research partnerships, and ensuring high-impact research implementation and outcomes. Learn more at https://cyfs.unl.edu/ . Why this role, why now. CYFS is entering a pivotal
-
multi-décennie pour le temps. Pouvoir étudier les fonctions agricoles et hydrologiques de façon systémique dans un paysage agricole conduit à un premier défi scientifique qui est de quantifier ces
-
-scale, complex, multidisciplinary proposals, including collaborative opportunities across the University and multi-research organizations. Research and assist in writing non-technical content of proposals
-
execution of the CAW’s multi-year action plan under the CAW director's guidance. The role requires a scholar-administrator with deep familiarity with aging and dementia research and experience managing
-
the molecular mechanisms underlying cardiac development and disease. We utilize a multi-disciplinary approach, combining molecular, cellular, developmental, and physiological techniques to uncover novel
-
and processing of multi-omics biomedical data from various public sources. 2. Development and training of AI models based on Graph Neural Networks (GNN) and Kolmogorov-Arnold Graph Neural Networks