Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of statistical physics, thermodynamics of irreversible processes, and microstructure formation. Experience on high-performance computing would be a plus. In addition, a high level of communication skills, both
-
a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and
-
, metabarcoding) - Bioinformatics analyses - Environmental data synthesis - Statistical analysis of data - Fieldwork participation (eDNA/eRNA sampling) - Scientific writing and communication - Supervision
-
eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
-
the postdoctoral fellowship. • License to practice psychology and clinical experience in hospital-based neuropsychology. • Experience with and proficiency in inferential statistics in neuroscience. • Analytical and
-
degree in aquatic microbial ecology and experience in high-throughput sequencing data analysis and statistical tools (familiarity with the UNIX terminal environment; management of big data on clusters
-
- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
-
; - have knowledge of statistical analysis; - have a strong appetite for field and laboratory studies. - hold a B driver's license (field missions in Indre-et-Loire); - knowledge of GIS and analytical
-
candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience with existing
-
statistical models. Within the Polarity, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics