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, Electrical and Computer Engineering, Cybersecurity, or any other relevant field. • Strong background in cybersecurity. • High proficiency in programming (C, C++, Python, ROS, or Matlab). • High proficiency in
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Computer Science, Electrical and Computer Engineering, Cybersecurity, or any other relevant field. Strong background in cybersecurity. High proficiency in programming (C, C++, Python, ROS, or Matlab). Specific
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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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/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command of English. The candidate should
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; Advanced knowledge in handling weather and climate-related data; Fluent in Python programming; Ability to write robust and well-documented code; Good knowledge of written and spoken English; Good knowledge
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technical requirements working knowledge of at least one programming language (C, C++, NodeJS, Python); good knowledge of versioning tools (i.e. Git), Linux environment and programming Preferential technical
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field (obtained within the last 3 years). Technical Expertise: Solid experience in processing Optical and SAR imagery and geospatial analysis. Programming: Proficiency in Python for EO data science (e.g
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, transformer-based models), including experience with their application to biomedical and biological data; Experience with machine learning frameworks and programming languages (e.g. Python) for handling large
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preference for former and recent deep learning models (GNNs, Transformers, etc.). Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch