Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
energy transitions at local, national or global scales. Energy Engineering is a part of the Division of Energy Science in the Department of Engineering Science and Mathematics, which is a subject-wide
-
though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy management strategies under traction and AC grid constraints. Contribute to two pilots
-
, acceleration, algorithms for optimal transport or generative AI). A good knowledge of Python programming (for AI, optimization) is highly desirable. Website for additional job details https://emploi.cnrs.fr
-
Carolina is inviting applications of two postdoctoral associates in the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates
-
mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
-
, geometry of polynomials, inverse problems, knot theory, mathematical modeling, mathematics education, medical imaging, nonnegative matrix theory, numerical optimization, topology, and tiling theory
-
. This position is ideal for candidates interested in: operations research and optimization, climate adaptation and resilience, sustainable food systems, mathematical modelling and data-driven decision making
-
3 Aug 2026 Job Information Organisation/Company IMT School for Advanced Studies Lucca Research Field Mathematics » Other Researcher Profile Leading Researcher (R4) Positions Other Positions
-
background in mathematical optimization and modeling • Excellent programming skills (Python, Matlab, Julia, or similar) • Interest in energy systems, electric mobility, and battery technologies • High level of
-
the mathematical relationships, trade-offs, and impossibility results connecting different fairness definitions. Intersectional fairness: exploring fairness guarantees for combinations of multiple protected