Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- Sweden
- Germany
- Spain
- France
- Norway
- Denmark
- Belgium
- United Arab Emirates
- Singapore
- Canada
- Poland
- Australia
- China
- Austria
- Italy
- Switzerland
- Finland
- Morocco
- Macau
- Luxembourg
- Czech
- Romania
- Ireland
- Hong Kong
- Brazil
- Lithuania
- Japan
- Croatia
- New Zealand
- Estonia
- India
- South Africa
- Cyprus
- Greece
- Vietnam
- Worldwide
- Andorra
- Malta
- Bulgaria
- Europe
- Kenya
- Malaysia
- Qatar
- Slovenia
- Germany / Finland
- Kyrgyzstan
- Mexico
- Saudi Arabia
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Psychology
- Education
- Materials Science
- Chemistry
- Arts and Literature
- Humanities
- Social Sciences
- Environment
- Earth Sciences
- Linguistics
- Law
- Sports and Recreation
- Electrical Engineering
- Philosophy
- Design
- Physics
- Statistics
- 15 more »
- « less
-
). You have background knowledge in computational chemistry or materials physics, especially in modeling battery cathode materials, oxygen release, or defect/vacancy formation. You have experience with
-
business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
-
- 4 Additional Information Eligibility criteria Required skills: strong experience in TVB modeling, experience in fitting models to human data, strong level of autonomy, solid knowledge of machine
-
an important entry point for data and models in the Metropolitan Region of Amsterdam. Where to apply Website https://www.academictransfer.com/en/jobs/357691/postdoc-micromacro-modelling
-
have strong programming skills and experience analyzing/modeling the results of human subject experiments. Certifications/Licenses NA Required Knowledge, Skills, and Abilities The applicant must have
-
. The successful candidate should apply state-of-the-art methods in either aquatic ecology and biodiversity research (e.g., environmental omics, eDNA, etc.) or hydrology (e.g. integrated modeling and/or AI-based
-
be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
-
Requirements Specific Requirements The student will have competences in mechanic of solids. Skills in modelling will be also appreciated. The capacity to work in a team and a good knowledge of French
-
, statistical thermodynamics, and numerical methods for partial differential equations. Experience or a strong interest in the study of stochastic fluid models is required. Knowledge of scientific programming
-
for partial differential equations. Experience or a strong interest in the study of Van der Waals-type diffuse interface models is required. Knowledge of scientific programming languages (C-Petsc C) and HPC is