Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Aalborg University
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Newcastle University
- Technical University of Munich
- The University of Newcastle
- Instituto de Engenharia Mecânica
- KU LEUVEN
- University of Bergen
- University of Oslo
- jobs.ac.uk
- Aalborg Universitet
- Adam Mickiewicz University
- Durham University
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Foundation for Research and Technology-Hellas
- Kaunas University of Technology
- Leiden University
- Norwegian University of Life Sciences (NMBU)
- Oxford Brookes University
- Politecnico di Milano
- Queensland University of Technology
- Silesian University of Technology
- TU Wien
- Technical University of Denmark (DTU)
- Technische Universität Dresden (TU Dresden)
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- Umeå University
- University of Antwerp
- University of Birmingham
- University of Bristol
- University of Copenhagen
- University of East Anglia
- University of Exeter;
- University of Inland Norway
- University of Plymouth
- University of Sheffield;
- University of Texas at El Paso
- University of Twente (UT)
- University of Vienna
- University of Warwick
- University of Warwick;
- Uppsala universitet
- Utrecht University
- 42 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data
-
and the design of body-frame control laws with guarantees of stability and robustness to disturbances, uncertainties and actuation limits; b) the development of robust estimation and sensor-fusion
-
of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage
-
of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates
-
slowly, or act quickly but lack robust planning. Frontier models typically depend on heavy compute, cloud inference or controlled settings, limiting real-world use under compute, latency and energy
-
an exceptional know-how and experimental methodology, in a high-level scientific environment. The context of frequency metrology requires to master and control the noise sources of the experimental setup as
-
accessibility, and dependency on corporate-controlled resources. The project aims to develop data-efficient and reliable training strategies for vision foundation models, reducing the need for large datasets and
-
functional materials. Research activities focus on controlled polymer synthesis, macromolecular engineering, polymer self-assembly, nanoparticle design, and the development of stimuli-responsive polymer
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
, controlled information sharing, differential privacy, privacy proxies and confidential computing. Secure agent execution: integrating privacy protections on both the client and server sides so that sensitive
-
PhD student (f/m/d) who wants to take ownership of the software ecosystem behind our computational imaging research – from experimental reconstruction algorithms used inside our lab to robust tools used