Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Science
- Medical Sciences
- Economics
- Materials Science
- Mathematics
- Business
- Earth Sciences
- Chemistry
- Electrical Engineering
- Linguistics
- Arts and Literature
- Environment
- Law
- Physics
- Education
- Humanities
- Philosophy
- Psychology
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
processes, targeting annual savings of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real
-
Modeling and outputs. Implements Strategic Modeling governance, data-quality controls, and version-management processes. Leadership, Team Management, and Staff Development Directly supervise two Strategic
-
of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
-
additional controlled evaluations using both simulated data and real ephemerides, including Low Earth Orbit satellites. The grant will prioritise: quantitative validation of prediction accuracy
-
and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
-
) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane intelligence (e.g., reinforcement learning for scheduling
-
their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
-
, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written
-
. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
-
Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
Automata (CAFE) to considerably reduce calculation times and improve the response of numerical models. The numerical models will include laser-matter interaction, melt, and microstructure prediction models