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
- Materials Science
- Education
- Chemistry
- Arts and Literature
- Humanities
- Social Sciences
- Environment
- Earth Sciences
- Linguistics
- Law
- Sports and Recreation
- Electrical Engineering
- Philosophy
- Design
- Physics
- Statistics
- 15 more »
- « less
-
parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD
-
datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience
-
documentation • Manage structured datasets, version-controlled simulation models, and model validation records • Cooperate with internal and external collaborators to support industrial deployment and knowledge
-
, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators
-
. Knowledge in statistical modeling, data science, exploratory analysis, and natural language processing applied to legal texts and empirical legal studies is highly desirable. Candidates must have excellent
-
modelling with finite element methods of solar cell devices. Knowledge of some or all of the materials involved is an advantage. Specific Requirements Familiarity with SILVACO modelling of multijunction solar
-
, Data characterization and analysis, Development of dashboard and visualization systems, Development of artificial intelligence models and user interfaces necessary for the system along with
-
academic training in Computer Science, Artificial Intelligence, Data Science, or equivalent. Knowledge of LLMs/NLP and multimodal models. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
-
component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
-
-contractuel-fh-en-diagnostic-des-batterie… Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications Skills Good knowledge of physics-based modelling and experimental skills. C1