Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Netherlands
- Germany
- Portugal
- Sweden
- Italy
- Norway
- Spain
- Belgium
- Singapore
- Denmark
- Australia
- Morocco
- Poland
- Finland
- Austria
- Switzerland
- Ireland
- China
- Canada
- Japan
- Hong Kong
- United Arab Emirates
- Luxembourg
- Brazil
- Czech
- Estonia
- Hungary
- New Zealand
- Slovenia
- South Africa
- Croatia
- Cyprus
- Greece
- Iceland
- India
- Malta
- Romania
- Slovakia
- South Korea
- 32 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Environment
- Chemistry
- Business
- Psychology
- Arts and Literature
- Electrical Engineering
- Education
- Humanities
- Law
- Philosophy
- Social Sciences
- Sports and Recreation
- Linguistics
- Physics
- 13 more »
- « less
-
predictive algorithm of School-age neuropsychological outcome will be developed combining radiomic model of brain development, with qualitative neonatal MRI findings. Achievement of the expected progression
-
, interaction network analysis, and data-driven predictive modelling of consortium behaviour. The candidate will also support the development of computational tools to evaluate functional performance
-
are particularly encouraged to apply. The Department is particularly interested in candidates with the ability to perform predictive modeling and develop advanced polygenic scores. The candidate must be able
-
on developing multi-scale mechanical models to predict how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex
-
Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
simulations are a key tool for testing scientific hypotheses and predicting the evolution of these systems. However, their computational cost remains prohibitive, particularly at large spatial and temporal
-
technologies: ForceDecks, NordBord, ForceFrame - Data visualization tools: Tableau, Power BI - Data analysis & coding tools: R, Python - Machine Learning: Predictive modeling, feature engineering, model
-
-storage quality (firmness, colour, disorders) will be assessed. • Model development: Relationships between porosity, gas exchange, and storage outcomes will be modelled to evaluate predictive capacity
-
and requires a hybrid work schedule that includes 1-2 days working in the office Monday-Friday during regular day shift hours. Regular and predictable attendance is required. Key Responsibilities
-
, process intensification, and hydrogen yield optimization. These interconnected phenomena require predictive modeling tools capable of supporting the scale-up from laboratory to industrial operation [3–5
-
genomics (CROP-Seq). The successful candidate will be responsible for the integrative analysis of large-scale multi-omics datasets and the development of predictive computational models to identify complex