Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Austria
- Germany
- Australia
- Belgium
- Netherlands
- Norway
- Sweden
- Denmark
- Singapore
- Luxembourg
- India
- Portugal
- Spain
- Switzerland
- China
- Czech
- Hong Kong
- Ireland
- Poland
- Canada
- Italy
- Morocco
- Lithuania
- Bulgaria
- Finland
- New Zealand
- United Arab Emirates
- Andorra
- Armenia
- Barbados
- Cyprus
- Europe
- Kyrgyzstan
- Latvia
- Slovenia
- South Africa
- Worldwide
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Business
- Chemistry
- Humanities
- Linguistics
- Environment
- Social Sciences
- Education
- Law
- Arts and Literature
- Earth Sciences
- Materials Science
- Philosophy
- Psychology
- Electrical Engineering
- Sports and Recreation
- Physics
- Design
- 14 more »
- « less
-
) Knowledge of HIPAA and research data security requirements Experience with deep learning approaches for clinical NLP Equal Opportunity Employer / Disability / Veteran Columbia University is committed
-
to staff position within a Research Infrastructure? No Offer Description PhD Position in Physics-Informed Machine Learning for Cardiac Magnetic Resonance The CMR Zurich group at the Institute
-
Term: Initially 1 year, renewable. Appointment Start Date: As early as February 2026, but flexible Group or Departmental Website: https://med.stanford.edu/bridge-lab.html (link is external) How to Submit
-
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum
-
feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
-
this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert knowledge of deep
-
understanding of advanced programming areas, including modern machine learning and deep learning methods (e.g., MATLAB and Python) Expertise in one or more of the following areas is preferred: mechanical
-
, anthropology, sociology and political science. The successful PhD applicant will be a member of the Centre for Business and Development Studies (CBDS). Please see: https://www.cbs.dk/en/research/department
-
with the centre’s user partner Kongsberg Satellite Services (KSAT). We are therefore seeking someone with a strong interest and competence in deep learning. Working environment: The project will be done
-
develop new and creative approaches based on operations research, artificial intelligence, machine/deep learning or similar methodologies, to improve the design and performance of future manufacturing