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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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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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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
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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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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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applications and end user experiences Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR applications and use OpenXR standards