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Field
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an academically equivalent or recognized corresponding degree from an institution abroad. 2. Demonstrated experience/knowledge of Python programming for artificial intelligence (PyTorch, Keras, or TensorFlow), as
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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into an actionable decision-support tool for regional fire prevention and climate resilience. The position requires strong quantitative and programming skills (R or Python), experience with spatial and ecological
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at international conferences Your profile Completed Master's degree (or equivalent) in Computer Science, Data Science, Computational Linguistics, Mathematics, or a related field Strong programming skills in Python
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for completing these tasks is approximately 24 months, as stipulated in the resource allocation (Staff effort) section of Annex 1 of the Grant Agreement. Where to apply Website https://sede.udc.gal/services
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Linux and a programming language (C/C++ or Python) is a plus but not mandatory. Location: PROMES CNRS Laboratory – Perpignan site Starting date: April 1st , 2026 at the latest Salary: Minimum gross
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of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python, MATLAB) and the use of Linux/HPC systems
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programming (Python, MATLAB) and the use of Linux/HPC systems are considered merits. Consideration will also be given to collaborative skills, drive and independence, and how the applicant, through experience
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hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following
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Experience in LLMs and developing LLM-based methods is an advantage Programming skills, ideally in Python Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment