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their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in machine learning, algorithmic theory, or code
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of software and numerical simulations of turbulent flow in complex geometries. The project will entail work with the direct numerical simulation codes Neko and PyFR. Qualifications Requirements A doctoral
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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. Names and contact details with e-mail addresses of two or three academic references. 6. Other relevant documentation (e.g., code repositories, software demos, teaching). The application must be made via
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visualization of complex multimodal results for users who are unused to coding. This will include designing tools for the automatic processing of genomics or other omics datasets, alongside medical or biometric
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-depth investigation of a class of vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Funding category: Autre financement privé
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optimization, AI, power electronics with good publication record· Good at coding in python with different DRL algorithms training, or good at digital platform development will be a preference Knowledge of
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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analysis to identify what drives, or hinders, secure coding behaviors. You will lead empirical data collection through interviews and focus groups, develop validated measurement instruments, design and
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omic data 2) An important second part of the post is helping to automate components of interpretation and visualization of complex multimodal results for users who are unused to coding. This will include