Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Institut Pasteur
- CEA
- Inria, the French national research institute for the digital sciences
- University of Luxembourg
- Université de Limoges
- Grenoble INP - Institute of Engineering
- IMT Atlantique
- IMT Mines Ales
- INSA Rouen Normandie
- Le Mans Université
- Luxembourg Institute of Science and Technology (LIST)
- Sorbonne Public Health Institute
- Sorbonne Université
- Télécom Paris
- Universite de Montpellier
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- 8 more »
- « less
-
Field
-
graphics, machine learning and graphics programming, as well as a good command of English. Knowledge of data science and deep learning is an advantage. You demonstrate good team spirit, interpersonal and
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context : The e CP project (Electrothermal Chemical Processes) [1] addresses
-
heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
-
-precision dynamic biomechanical tests. Improve actuation control (speed, smoothness, accuracy). Synchronize with advanced imaging systems (micro-CT, OCT, multiphoton microscopy, SEM). Develop customized
-
or equivalent Skills/Qualifications Minimum level of education and/or experience required: PhD Required skills, knowledge and experience: Good command of scientific English, both written and spoken Ability
-
) with controlled size and structure - Characterize nanocatalysts using a combination of techniques, including: electrochemistry (HER/CO2 RR activity tests (RDE, GDE) on-line ICP-MS for metal dissolution
-
of geographic databases. • Conduct of collaborative research projects. • Excellent editorial qualities (scientific). • Very good command of scientific English. You have : • skills in modeling and
-
). Special attention will be given to ion beam-assisted ZnO growth in order to establish relationships between process conditions (energy, flux, temperature) and certain characteristics of the resulting layers
-
the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active