Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Universite de Montpellier
- Université de Strasbourg
- Aix-Marseille Université
- IMT Mines Albi
- Ecole Polytechnique
- European Synchrotron Radiation Facility
- French National Research Institute for Sustainable Development
- IFP Energies nouvelles (IFPEN)
- IMT Atlantique
- INSA Strasbourg
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP)
- Institut de physique du globe de Paris
- Nantes Université
- Nature Careers
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 13 more »
- « less
-
Field
-
l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 3 months ago
Python, C/C++. • Possible co-supervision of Master’s and/or PhD’s students (on a similar topic). Where to apply E-mail Florent.Autrusseau@univ-nantes.fr Requirements Research FieldComputer scienceEducation
-
-validation, uncertainty analysis, design of experiments). Advanced proficiency in at least one programming language (Python or C++). Soft skills Ability to work independently, to operate in
-
. Strong programming skills and experience (Matlab, C, Python) and with embedded systems. Skills in optoelectronics. LanguagesENGLISHLevelExcellent Research FieldPhysics » OpticsPhysics » ElectronicsYears
-
condensates - have practical experience in single-molecule fluorescence microscopy - have practical experience in cryogenic electron tomography - have knowledge of data processing using R, Python, or equivalent
-
of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python
-
) python programming skills, 2) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on
-
well as time-resolved spectroscopy. Basic programming skills are welcome as the facility is currently implemented with Python. The postdoctoral researcher will work in the Materials and Light Department
-
physics, mathematics, and statistical/AI approaches. • Proficiency in programming (mainly Fortran, Python) and the Linux/Unix environment. • Experience in high-performance computing and large datasets
-
or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken
-
FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python