Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Susquehanna International Group
- CNRS
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- University of Copenhagen
- University of Tübingen
- ARCNL
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published yesterday
- Duke University
- Eindhoven University of Technology (TU/e); yesterday published
- FCiências.ID
- Goethe University Frankfurt •
- IMEC
- Leibniz
- Ludwig-Maximilians-Universität München •
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Purdue University
- Tallinn University of Technology
- Technical University of Denmark - DTU
- Universite de Montpellier
- University of A Coruña
- University of Cologne •
- University of Primorska
- 18 more »
- « less
-
Field
-
22 Oct 2025 Job Information Organisation/Company University of Primorska Research Field Mathematics » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Slovenia
-
Eligibility criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression
-
the research area of finite geometry. Job description The Discrete Mathematics and Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in
-
) further study of the method, to understand how the 13C signal develops and is distributed in the plant, and how sampling can be optimized to show such effects of even shorter dry periods, typical
-
and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management; Autonomous ships and remote control. The research
-
the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
-
” funded by the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage for optimizing metals
-
Supervised/unsupervised fine tuning of the existing models (e.g., Retrieval-Augmented Generation, Low-Rank Adaptation, Direct Preference Optimization, Reinforcement Learning from Human/AI Feedback). Moreover
-
are as follows: Optimize and develop new measurement protocols for single-crystal paleointensity, in particular by combining this technique with the use of a "multispecimen" approach. Test a potential bias
-
and thus go beyond relatively straightforward safety and progress properties, system requirements related to the timing of events and the results from performance optimization need to be included in