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- FUNDACION DE INVESTIGACION BIOMEDICA HOSPITAL 12 DE OCTUBRE
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. Good programming skills (e.g., C/C++, Java, or Python) and experience in (or an interest in working in) the area of cybersecurity while conducting practical research. Software reverse engineering (Frida
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Hospitals. Description of the candidate: The successful candidate is expected to hold: • A master degree in biomedical engineering or computer science, • Excellent programming skills, (Python & SQL
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after
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Science or equivalent. Furthermore, the successful candidate should have expertise in the areas of cryptography. Extensive coding expertise within Python, C/C++, and/or any other programming language is also needed
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. This research is ideally suited to candidates with interests in photonics, metamaterials, ultrafast optics, nanofabrication, and computational electromagnetism. Strong coding (Python /MATLAB) and experimental
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engineering, Physics, Life science, or a related field Familiarity with statistics and programing experience with Python Interest in studies on sleep in model organisms such as zebrafish Interest in
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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Metal additive manufacturing process monitoring and control – Researcher, PhD position (ERC project)
with the evaluation of resulted printed parts. The PhD candidate should have a background in mechatronics and laser technologies. Preferably, the PhD candidate should have programming skills (Python, C/C
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion