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scientific or microscopy data is welcome but not required. Strong analytical skills, scientific creativity, and the ability to work independently while collaborating in a team environment. Our Offer: We work
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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food components. To strengthen our research group, Integrative Food
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the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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of Giessen/Hohenheim, students process their fieldwork data and present it to peers in a doctoral seminar. This is followed by the application of the chosen analytical tools to provide answers
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systems, or a comparable field of study Strong interest in additive manufacturing, materials, and resource issues Analytical thinking and interest in systemic issues Basic knowledge of quantitative methods
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in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
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spectrum of learning opportunities in the intersection of materials science, chemistry, solid state physics, materials analytics, numerical modeling and data analysis. Use novel machine learning tools and
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atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and