Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Singapore
- Portugal
- Norway
- France
- Netherlands
- Spain
- Denmark
- United Arab Emirates
- Belgium
- Australia
- China
- Canada
- Hong Kong
- Switzerland
- Poland
- Italy
- Finland
- Japan
- Luxembourg
- Austria
- Ireland
- Estonia
- Czech
- Saudi Arabia
- Cyprus
- Lithuania
- Romania
- New Zealand
- South Africa
- Greece
- Andorra
- Brazil
- India
- Latvia
- Armenia
- Morocco
- Bulgaria
- Croatia
- Europe
- Iceland
- Israel
- Kuwait
- Lebanon
- Malta
- Mexico
- Slovenia
- Taiwan
- Worldwide
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Science
- Biology
- Education
- Mathematics
- Materials Science
- Arts and Literature
- Electrical Engineering
- Social Sciences
- Chemistry
- Humanities
- Linguistics
- Psychology
- Law
- Earth Sciences
- Environment
- Design
- Sports and Recreation
- Philosophy
- Physics
- 14 more »
- « less
-
university match Learn more about working at UNL: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity
-
process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and
-
single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
-
the mobility of IoT devices. This thesis proposes leveraging intelligent softwarization—using Machine Learning (ML), Software-Defined Networking (SDN), and Network Function Virtualization (NFV
-
problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key Responsibilities Participate
-
of clinical and health informatics, systems interventions, community participatory research, human-computer interaction, usability, mobile technology, bioinformatics and biomedical engineering. Indiana is home
-
comprehensive and 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
-
consultant for electrical and computer engineering projects for students in EPICS, VIP, Capstone or elsewhere. Train and assist Teaching Assistants in the proper use of electronic tools and test equipment
-
an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
-
discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion