Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Institut Pasteur
- CEA
- UNIVERSITE DE LILLE
- European Magnetism Association EMA
- CNRS
- CONSERVATOIRE NAT. DES ARTS ET METIERS
- Université Côte d'Azur
- Université Savoie Mont Blanc
- ;
- BRGM
- CEA-Saclay
- Hult
- Inria, the French national research institute for the digital sciences
- Institut National Polytechnique de Toulouse
- Le Mans Université
- Nantes University
- UNIVERSITE DE PAU
- UNIVERSITE DU MANS
- UNIVERSITY OF VIENNA
- University of Montpellier
- 11 more »
- « less
-
Field
-
responsible to develop and test the new software in collaboration with experts of genomics at Joliot and of computer science at MdS. Your mission will include: Discussions and set-up of the physical models
-
, particularly in the context of wave equations. Proficiency in numerical implementation and computational methods will be appreciated. Candidates with a PhD in semiclassical analysis who are keenly interested in
-
cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience with flow cytometry and
-
pool of leukemic cells in sanctuary lymphoid organs leading to transformation in high-grade lymphomas. 3) the elaboration of computational prediction tools of progression and new preclinical models
-
, computer science, population biology or a similarly quantitative discipline.
-
on Neural Information Processing System [20] Anish Agarwal, Munther Dahleh, and Tuhin Sarkar, A marketplace for data: An algorithmic solution, in Proceedings of the 2019 ACM Conference on Economics and
-
Master’s degree in Health Engineering is recommended. ➢ Proficiency in English is recommended. The desired profile combines scientific rigor, the ability to work independently, and team spirit within a
-
advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific
-
ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
-
/2023.12.26.573306 (2023). Lake, B. M., Salakhutdinov, R. & Tenenbaum, J. B. Human-level concept learning through probabilistic program induction. Science 350, 1332–1338 (2015). The successful intern should have a