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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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the use of databases or knowledge in data processing and statistical metrics*; 2. Proficiency in English*; 3. Knowledge of Python, MATLAB or R programming languages*; * mandatory requirement Work plan: The
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infrastructure concepts Proficient with scripting languages (Python, Powershell, Bash, etc.) Experience mentoring technical teams and leading complex projects Excellent problem-solving, communication, and
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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and/or Python Ability to work in a challenging and international environment COMPENSATION PACKAGE A yearly gross salary up to 35.000 EUR Private health care coverage depending on your role and contract
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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Practical experience with vector network analyzers and on‑PCB LRM/TRL calibration/de‑embedding. Proven experience in behavioural modelling and DPD (MATLAB/Python) Desirable Criteria Knowledge, Skills
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas