Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- Luxembourg Institute of Health (LIH)
- CNRS-LMA
- ENS
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- INSA Rouen Normandie
- INSERM
- IRCM - Cancer Research Institute of Montpellier
- Sorbonne Université
- Télécom Paris
- Universite de Montpellier
- University Paris-Saclay
- Université Bourgogne Franche-Comté
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- 9 more »
- « less
-
Field
-
Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
-
, ideally applied to thin-film growth by PVD. Skills in data analysis, programming (Python, etc.), and the ability to work at the interface between simulation and experimentation in collaboration with
-
with training and using protein language models or similar experience with non-protein large language models. Expertise in python and machine learning implementations (e.g., pytorch). Expertise in other
-
criteria - Computer skills, particularly in Python and C++, are necessary for the development of the analysis software. Knowledge of Git version management software is also desired. - Proven knowledge
-
- Polyploidy and genomic instability - Automated image acquisition - Scientific programming (Python, Java, or MATLAB) 4. Soft Skills and Professional Qualities - Strong analytical skills - Scientific curiosity
-
. Additional skills : experience in high-performance numerical simulation; familiarity with variational quantum algorithms and quantum simulation; experience in scientific programming (Python, Julia, C/C
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
(position, impedance/stiffness, hybrid control) — advanced level Scientific programming (C++ and/or Python) and real-time robotic frameworks (e.g. ROS/ROS2) — advanced level Multiscale and multiphysics
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
proficiency in Python. Familiarity with continual/lifelong learning and/or self-supervised learning is a strong plus. Experience with robotic platforms or human-robot interaction is a plus but not required
-
fluorescence microscopy, is highly desirable. The successful candidate should also have experience with data analysis tools (Python and/or MATLAB), and ideally be familiar with the challenges associated with
-
samples (cell culture) and/or nanomaterials is an asset -experience in scientific programming and data analysis using Python and/or MATLAB -ability to work in an interdisciplinary environment and to