Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Grenoble INP - Institute of Engineering
- Institut Pasteur
- Université Grenoble Alpes
- CEA
- Ecoles Pratique des Hautes Etudes - PSL
- French National Institute for Health Research (INSERM)
- Inria, the French national research institute for the digital sciences
- Le Mans Université
- Université de Caen Normandie
- Université de Limoges
- CNRS-LMA
- CY Cergy Paris Université
- DI ENS
- ENS
- European Synchrotron Radiation Facility
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- IMT Mines Ales
- IMT Nord Europe
- INSA Rouen Normandie
- INSERM
- INSERM DR Paris 5
- IRD Occitanie
- Institut Pasteur de Lille
- Institut de l'Audition/Institut Pasteur
- Sorbonne Public Health Institute
- Sorbonne Université
- Télécom Paris
- Universite de Montpellier
- Université Bourgogne Europe
- Université Bourgogne Franche-Comté
- Université Côte d'Azur
- Université Grenoble Alpes
- Université Lumière Lyon 2
- Université de Reims Champagne Ardenne
- Université de Strasbourg
- muséum national d'histoire naturelle
- 28 more »
- « less
-
Field
-
in dedicated metabolomic analysis workflows: construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices - Ability to analyse
-
bacterial genome analysis and comparative genomics. * Skills in bioinformatics applied to genomic data analysis. * Experience in data analysis and visualization, particularly using R and/or Python. * Ability
-
, adaptability, and respect for the working environment and colleagues Teamwork skills Strong organizational abilities Proactivity and autonomy, with the ability to make original proposals Compliance with safety
-
and evolution (occupancy models, multi-species population dynamics, autoregressive models, etc.) - Ability to work independently and as part of a team - An interest in ecological and evolutionary
-
programming. • Proven experience in deep learning (PyTorch or TensorFlow). • Previous experience with high-dimensional biological data and knowledge in (epi)genomics will be appreciated. • The ability to work
-
control theory. Proficiency in theoretical modeling tools (e.g., effective Hamiltonians, master equations, feedback methods). Ability to work in a team and interact effectively with experimentalists
-
/Qualifications The successful candidate shall hold a PhD in metal additive manufacturing principles, ideally wire-fed processes such as WAAM, EBAM, and WLAM. Core competencies: - Ability to implement and conduct
-
Proficiency with the gastruloid model Proficiency in English (B1 level) Ability to work in a team while respecting individual differences Experience supervising PhD students Scientific curiosity and motivation
-
characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
-
, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is