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Field
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including digital design, systems and mixed-signal design What you bring to the table Completed scientific university studies in the field of electrical engineering, electronics, communication engineering
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of agricultural applications, technology and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the German States (TV-L). Your qualifications • A
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree Experience in circuit and layout design with Cadence Virtuoso, PSpice, Tanner EDA
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standards Write research papers for journals and conferences What you bring to the table Completed scientific university studies in the field of electrical engineering, electronics, communication engineering
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Completed scientific university studies in the field of electrical engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree Solid knowledge
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at the University of Tübingen invites applications for a PhD position. The project will focus on engineering dynamic control systems in microbial metabolism (so-called growth switches and metabolic valves
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? Join us at the Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine
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. However, these technologies are inherently dependent on weather conditions, which are likely to be influenced by climate change. The PhD position is aimed at investigating the effects of future climate
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets