Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- Canada
- Denmark
- Belgium
- Poland
- Spain
- United Arab Emirates
- Netherlands
- Finland
- Switzerland
- China
- Hong Kong
- Morocco
- Luxembourg
- Singapore
- Australia
- Austria
- Ireland
- Italy
- Saudi Arabia
- Taiwan
- Japan
- Romania
- Brazil
- Estonia
- Greece
- India
- New Zealand
- Portugal
- Andorra
- Barbados
- Cyprus
- Czech
- Europe
- Lithuania
- Mexico
- Slovenia
- South Africa
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Humanities
- Earth Sciences
- Education
- Materials Science
- Environment
- Law
- Physics
- Social Sciences
- Linguistics
- Business
- Electrical Engineering
- Arts and Literature
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields. The candidate is expected
-
, including extensive material relating to the language and ceramics of the ancient Maya elite. Dumbarton Oaks invites applications for a Postdoctoral Fellow to join a team working to create comprehensive
-
focusing on the integration of machine learning, wafer-scale synthesis of materials. The role will contribute to the university's research mission by conducting fundamental research, helping secure external
-
are expected to have a Ph.D. in theoretical particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning
-
: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
-
e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
-
opportunity to field test and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization
-
of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database