Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Norway
- Singapore
- France
- Portugal
- Spain
- Netherlands
- Australia
- Denmark
- Belgium
- United Arab Emirates
- Canada
- China
- Italy
- Poland
- Austria
- Switzerland
- Hong Kong
- Finland
- Ireland
- Luxembourg
- Japan
- Morocco
- Romania
- Czech
- Estonia
- New Zealand
- Saudi Arabia
- Lithuania
- Greece
- India
- Brazil
- Cyprus
- Latvia
- Taiwan
- Worldwide
- Andorra
- Croatia
- South Africa
- Ukraine
- Armenia
- Malta
- Slovenia
- Vietnam
- Barbados
- Bulgaria
- Indonesia
- Israel
- Kenya
- Kuwait
- Lebanon
- Mexico
- Qatar
- 46 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Business
- Biology
- Science
- Education
- Mathematics
- Arts and Literature
- Materials Science
- Psychology
- Social Sciences
- Law
- Humanities
- Chemistry
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Earth Sciences
- Environment
- Physics
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
-
development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
-
applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to mlcv at tu-dresden.de or to: TU Dresden, Chair of Machine Learning
-
] Subject Areas: Computer Science / Artificial Intelligence , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial Intelligence/Machine
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
-
relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have documented experience in
-
Posting Details Position Information Position Computer Information Science, Temporary Full-Time or Temporary Part-Time Pool, 2019-2022 Posting Number FM01973 Employment Type Temporary Full Time or
-
descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
-
for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential
-
challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach selected graduate courses in the MGEN Cyber