Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- CEA
- BRGM
- European Magnetism Association EMA
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Université d'Artois
- Université de Bordeaux
- Université de Technologie de Belfort-Montbéliard
- AGH - IMIR (Krakow)
- Arts et Métiers Institute of Technology (ENSAM)
- CPPM
- FEMTO-ST institute
- ICB - UMR 6303 - Laboratoire Interdiciplinaire Carnot de Bourgogne
- IFP Energies nouvelles (IFPEN)
- Institut Neel
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Nantes University
- Nantes Université
- UNIVERSITE PARIS CITE
- University of Paris-Saclay
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université d'Orléans
- Université de Montpellier
- Université de Pau et des Pays de l'Adour
- École Normale Supérieure
- École nationale des ponts et chaussées
- 20 more »
- « less
-
Field
-
profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
-
surveillance, random testing, wastewater, hospital surveillance) may help optimize epidemic monitoring, iii) modelling and comparing the patterns of spread of COVID-19, influenza and RSV by age group in France
-
) at Attolab in CEA-Saclay, Paris); - Optimize and develop the experimental procedure to improve the data quality collected in November 2023; - Measure new samples from CEA clean room to study defects inherent
-
suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
-
capacity, transport, etc.), and contributing to experiments at large-scale facilities. Position 2: “Optimizing the functionality of Fe2P compounds through microstructural control” The primary objective
-
the world and there is an urgent need to have better prognosis and predictive biomarkers, in order to improve the optimal care of these patients. Many existing therapies lead to an improvement of the overal
-
setup, process optimization, and safe, efficient upscaling strategies across various research projects. This position is ideal for someone with a solid understanding of chemistry and polymer science
-
of quantitative methods for data processing and analysis, optimization, scientific programming and economic analysis, in some of the following areas. The main tasks will be : * Global economic analysis
-
) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
-
on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate