Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- Singapore
- Norway
- France
- Portugal
- Spain
- Netherlands
- Australia
- Belgium
- Denmark
- Canada
- United Arab Emirates
- China
- Hong Kong
- Poland
- Austria
- Italy
- Switzerland
- Ireland
- Finland
- Luxembourg
- Japan
- Czech
- Romania
- Estonia
- Saudi Arabia
- Brazil
- Cyprus
- Lithuania
- New Zealand
- India
- Taiwan
- Andorra
- Croatia
- Latvia
- South Africa
- Greece
- Worldwide
- Morocco
- Slovenia
- Armenia
- Barbados
- Bulgaria
- Europe
- Fiji
- Iceland
- Indonesia
- Israel
- Kuwait
- Lebanon
- Malta
- Mexico
- Qatar
- 46 more »
- « less
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Engineering
- Business
- Biology
- Science
- Education
- Mathematics
- Materials Science
- Arts and Literature
- Psychology
- Social Sciences
- Law
- Humanities
- Chemistry
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
https://main.hercjobs.org/jobs/22098207/postdoctoral-fellowship-in-differentially-private-learning-and-replicability Return to Search Results
-
and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency
-
. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
-
Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
-
Position Details Position Information Position Title Part-Time Academic (ASPC2008 Digital Electronics and Computer Interfacing) - Summer 2026 Posting Number PTAP3183P Department/Unit Extended
-
complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
-
following use cases: • The construction of a machine learning pipeline that allows the conversion of Course Unit Sheets (CUS) into a data structure based on the European Learning Model (ELM). • Integration
-
of machine learning technologies, including large language models within the Department of Food and BioResource Technology, with a special focus on technologies applicable in so-called developing countries. As