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peer-reviewed journals Your Profile: A Master’s degree in chemistry, physics, environmental science, atmospheric science, meteorology, or a related discipline Strong experimental skills; experience in
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(UTC) 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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development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via
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Profile: A Master’s degree in chemistry, materials science, chemical engineering, or a related field Desirable background in electrocatalysis and inorganic synthesis Fluent command of written and spoken
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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of interfaces for the automated integration of research data into efficient open-source energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics