Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
-
, French Technical skills: - Skills in measuring carbon stocks and flows - Advanced data processing skills - Ability to use an R or Python environment - Project management - Ability to work independently, in
-
conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
-
degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
-
experience in perturbative large-scale structure modeling (LSS), in particular biased dark matter tracers, in simulated dataset analysis, as well as strong programming skills in Python and C. Familiarity with
-
protocols (Python or dedicated software). You will join the NanoBioSurf team within the Laboratoire de Réactivité de Surface (LRS), as part of a CNRS prematuration program. This project aims to develop a
-
validation on simulated and real data Skills Abstraction capabilities, strong programming skills in C/C++ and Python, collaboration skills. English is needed. REFERENCES [0] C. Bekker, S. Rothmann, M. Kloppers
-
related to scientific computing - A solid background in multi-linear abler and tensor contractions software development - Proficiency in multiple programming languages (Python, C/C++, or Fortran), ideally
-
labelling of proteins and/or DNA; - has advanced skills in image analysis based on single molecule detection; - has experience with programming (our group mainly works in Python); - has experience in cell
-
Information Eligibility criteria - PhD in astronomy, computer science or related fields - Proficiency with several of the following languages / programming models: C/C++, Python, CUDA, OpenMP, MPI, PyTorch