Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
focus on linguistics and cognitive science. It unites ca. 20 research projects from different German universities, plus international collaborators, from diverse academic disciplines. The position is part
-
Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
-
the impact of collective effects in high space-charge regimes. The Accelerators and Ion Sources Pole of LPSC is involved in the design, construction, and operation of the PERLE machine, particularly in
-
an assessment framework that will enable us to better identify and propose, in a transparent manner, management measures for optimal sustainability, tailored to each study area and applicable to different sites
-
partnership with the Charles Sadron Institute, - Contributing to the development of dedicated acquisition electronics, - Conducting tests on the developed devices, - Analyzing the obtained data, - Optimizing
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
algebra, optimization, calculus and probability and statistics. Duration: The research fellowship(s) will have the duration of 7 months. It’s expected to begin in (May/2026), and it is not renewable. It is
-
long-term research to short-term applications in linkage with incubation and start-up ecosystems. About ACER: The center has been recently created to address enduring process challenges in Chemistry and
-
Researcher position focusing on techno-economic optimization and feasibility assessment of carbon capture, utilization and storage (CCUS) integration and CO2 hub development at Nybro, Denmark. Starting date
-
approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability