Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- BRGM
- Nature Careers
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- CNRS UMR6614 CORIA
- Centrale Supelec
- Ecole Centrale de Lyon
- INRIA
- Inserm UMR-S 1250
- Nantes Université
- Sorbonne Université, CNRS, Inserm
- Université Gustave Eiffel
- Université Toulouse Capitole
- Université côte d'azur
- Université de Caen Normandie
- 6 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. Main activities : – Read papers and state of the art - Benchmark existing algorithms – Write problem formulation, proofs of convergence. – Adapt the formulation to the target scenario. – Propose a new
-
training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical
-
information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented
-
conducted to assess the feasibility of prototypes in terms of activity tracking, updating game elements, and visualisation capabilities. The second objective of the thesis is to develop models and algorithms
-
address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
-
approach based on Deep Learning algorithms will be developed and implemented to obtain additional information by coupling the recorded data. Furthermore, the increase in acquisition rates of measurement
-
algorithms for multimodal representation learning and data fusion tailored to Cultural Heritage imaging; 3) A robust unmixing and pigment-mapping workflow producing interpretable abundance maps, allowing
-
chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
-
to be essential. Certain conflicting objectives then arise (computation time, optimality of the solution, design and implementation time of the algorithm used, etc.). For the engineering researcher, who
-
and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect. Parametric study in different experimental