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statistical analyses using Python, MATLAB (or equivalent statistical software); Contribute to data visualisation and reporting of results; Participate in project meetings and scientific discussions; Prepare
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research, research data management and data quality control Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R Proven experience using REDCap for the design
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background. • Programming expertise in Python, with experience in PyTorch or TensorFlow. • Familiarity with networking and edge computing (e.g., MEC, IoT, 5G/6G). • Analytical skills for designing and
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
to work in the medical field • Good coding skills in Python • Fluent in English (Reading, Writing, Speaking) Contact People Send a CV and motivation leder to: maxime.sermesant@inria.fr, nadjia.kachenoura
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research, research data management and data quality control Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R Proven experience using REDCap for the design
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the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of
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strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
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algorithms. Good coding skills in Python, PyTorch, together with a general interest in biology are welcomed. Application Applications should contain a CV, a motivation letter, and the names and contact
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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experience (perception, prediction, planning/control integration) Proficiency in Python and modern ML tooling is expected, along with familiarity with a quantum SDK (e.g. Qiskit). 5 How To Apply Interested