Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Norway
- France
- Germany
- United Arab Emirates
- Canada
- Spain
- Denmark
- China
- Finland
- Netherlands
- Belgium
- Hong Kong
- Poland
- Switzerland
- Ireland
- Luxembourg
- Australia
- Austria
- Singapore
- Japan
- Saudi Arabia
- Portugal
- Taiwan
- Italy
- Czech
- Lithuania
- Romania
- Brazil
- Morocco
- Andorra
- Cyprus
- Greece
- India
- New Zealand
- South Africa
- Barbados
- Estonia
- Europe
- Mexico
- Slovenia
- Worldwide
- 34 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Mathematics
- Economics
- Chemistry
- Psychology
- Earth Sciences
- Education
- Environment
- Humanities
- Materials Science
- Social Sciences
- Law
- Physics
- Electrical Engineering
- Linguistics
- Arts and Literature
- Business
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
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
-
states, charge density waves, superconductivity, and quantum magnetism - Kagome materials and superconducting hydrides - Machine learning interatomic potentials (MLIPs) and data-driven atomistic
-
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
-
Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
-
Posting Details Position Details Title Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU
-
Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
mechanism-driven AI and agentic AI frameworks (iGenSig-AI, G2K) that integrate biological knowledge with cutting-edge machine learning to transform omics data into actionable therapeutic insights
-
electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
-
The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and
-
protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
-
. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly