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researcher, you will work in the frame of the CHASSIS project funded by the Luxembourg National Research Fund (FNR) through the OPEN research program. CHASSIS ultimate goal is the discovery of new metabolites
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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(e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C++ ability to work independently and collaboratively in
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with programming of scientific software. Excellent proficiency in English is required, as well as good communication skills, both oral and written. Terms of employment A high-level and exciting
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motivated team member with a strong interest in molecular plant science and plant-microbe interactions, able to plan and conduct research independently. Essential criteria: Candidates must have or be close to
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scientific results in high-quality international journals Extensive collaboration and teamwork skills Good English communication skills Who we are The Department of Ecoscience is engaged in research programs
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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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are conducting a dedicated study entitled 'The Information content of brain wiring', funded by the Volkswagen Foundation Pioneering Research Program 'the unknown unknown.' The basic premise is simple
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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of innovation. Apply through the IAAM R&D World Program, Apply Online before 30 November 2025. About IAAM The International Association of Advanced Materials (IAAM) is a non-profit scientific organization