Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- CNRS
- CNRS - National Center for Scientific Research
- Institut Curie
- Institut Pasteur
- Ecole Normale Supérieure
- IMT-BS
- Institut Curie - Research Center
- La Rochelle Université
- Nantes Université
- Université Gustave Eiffel
- Université Paris Cité
- Université de Lorraine
- Université de Picardie Jules Verne
- 3 more »
- « less
-
Field
-
2 May 2024 Job Information Organisation/Company CNRS Research Field Physics » Biophysics Physics » Statistical physics Chemistry » Computational chemistry Researcher Profile Recognised Researcher
-
Context: The rising cost of drug development – a phenomenon known as Eroom’s Law – is a call for innovation. Over the past decade, the statistical genetics community discovered thousands of variant
-
with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
-
Loire. Four teams represent the main topics of the lab : Theoretical Physics - PDE, Modelling, Simulations - Probabilities, Algebra, Combinatorics, Ergodic Theory, Statistics - Analysis and Geometry
-
, and a strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics. Excellent computational skills as well as experience with high-throughput data analysis in
-
of molecular tools and/or electrophysiology and/or multiphoton calcium imaging. A thorough knowledge of the insect's brain is also necessary. The ability to analyze signals and statistically process the data
-
, curious and highly motivated person for this 18-month post-doctoral position. The successful candidate should have expertise in a cross section of AFM, soft matter, statistical physics, physical chemistry
-
language processing (NLP) skills; - Solid data science foundations; - Ability to use statistical software applications (R and Python are mandatory) to develop analytical tools and predictive models; - System
-
measurements, including experience with UV-VIS spectrophotometer (for absorption) and radiometer (for reflectance) measurements. Strong statistical skills and knowledge: proficiency in applying statistical
-
one or more of the following: genomics, cancer biology, statistics. Excellent computational skills as well as experience with high-throughput data analysis in biology and/or single-cell data analysis is