150 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Forschungszentrum Jülich in Germany
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-ceramic joining materials, with a focus on interactions during the joining process and under operating conditions Optimisation of experiments, measurement methods and measurement technology, including
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analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Coursework in algorithms, computational complexity theory, and
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proactively maintaining the relevant websites Your Profile: Completed master`s degree in natural sciences, engineering or information technology, preferably with a PhD Experience with the structures
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opportunities: https://go.fzj.de/LeadershipCulture In a large research institution like ours, science and administration work hand in hand. Our leadership model ( https://go.fzj.de/leadershipmodel ) provides
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of results through high-quality publications and open-source software contributions Your Profile: Master’s degree in chemical engineering, biotechnology, computational biophysics, bioinformatics, data science
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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manufacturing in resource strategies and system models for evaluating long-term transformation paths Your Profile: Excellent master`s degree in engineering, materials science, industrial engineering, energy
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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills
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) to analyze heat transfer and mechanical behavior Your Profile: University Degree in mechanical engineering, materials science, production engineering, or a related field Solid knowledge in manufacturing
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controlled conditions and integrate chip systems with AI-assisted live-cell microscopy for autonomous feedback imaging and data analysis. Contribute to trainings, technology transfer and perform lab rotations