57 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions at Forschungszentrum Jülich in Germany
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testing process Your Profile: Excellent masters degree in physics, electrical engineering, mechatronics, process engineering or a similar field Strong interest in pursuing research on electrochemical
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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strong interest in foundational machine learning research and its application to real-world scientific problems. You should bring: A completed university degree (Master or equivalent) in computer science
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requirements are for the ideal candidate: Master’s degree in meteorology, physics, environmental science or similar Knowledge of atmospheric dynamics and chemistry would be an advantage Good experimental skills
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latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: TEAM & ENVIRONMENT: You will work in a motivated team with an
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publications and project reports Supervision of Bachelor and Master students Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or
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engineering laboratory facility. Your task will include: Construction and commissioning of the new reaction engineering plant Development and synthesis of inductively heatable, heterogeneous catalysts Operating
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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