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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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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
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linear stability analysis of 3D flow in rectangular channels Knowledge of ANSYS FLUENT and/or OPEN Foam CFD codes, Python, Paraview, … Extensive experience in programming A knowledge of complex fluid
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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science and their data analysis Technical skills – Programming skills (model code is in matlab) in matlab or similar e.g. Python – Organised approach to model application/development, tracking versions as
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demonstrate the following skills: - coding in Python - Life Cycle Thinking (LCA, MFA), or spatially-explicit environmental footprinting, applied to mineral raw materials - Knowledge/use of LCA software (e.g
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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
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Skills - Proficiency in programming languages (mainly Python and spatial SQL, ideally Java or Groovy) - Ability to define an experimental protocol for measuring micrometeorological phenomena - Ability
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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
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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