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ABOUT US The Max Planck Institute for Meteorology (MPI-M) is a multidisciplinary center for climate and Earth system research located in Hamburg, Germany. It is one of the premier climate science research institutes in the world. Located in the heart of one of Europe’s most livable and vibrant...
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). Candidates with a background in computer science, engineering, physics, (bio)informatics/mathematics, who are excited by the complexity of molecular processes are also encouraged to apply. You are dedicated
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computer science, mathematics, engineering, physics and chemistry with who are interested in understanding the molecular complexity of biological systems are also encouraged to apply. You should have an
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collaborative environment that includes the Faculty of Mathematics, the Carl Gustav Carus Faculty of Medicine, the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), and the Leibniz Institute
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pursuing a Bachelors or Masters degree in engineering, physics, mathematics or computer sciences and related discipline and/or an unaffiliated recent graduate with a Bachelor/Master degree from
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science, cognitive science, applied mathematics, physics, neuroscience or a related field A good command of Python for data processing (MNE python, NumPy, Pandas) Hands-on-knowledge in signal processing Experiences
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degree, university diploma, or equivalent) in a relevant field such as computer science, information science, mathematics, or a related subject. You are able to combine theoretical concepts with practical
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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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, Mathematics, or a related field, and you possess a solid understanding of technical concepts. Programming Skills: You have initial experience in object-oriented programming, particularly with Python, and are
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Your Job: The aim of your work is to identify and compare available data sources on cross-sectoral material flows and critical raw material demand, evaluate their suitability for energy system modeling, and demonstrate their application in exemplary analyses. The focus lies on methodological...