69 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Leibniz
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based on machine learning. Reference number 05/25 Your tasks Assessment of GaN technology in possible novel integrated GaN RF front-end configurations - Full duplex in-band transceivers - Integrated down
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of compact and robust diode laser modules for quantum technology applications, including quantum computers and space-based quantum sensors. For these research activities, we are looking for a Scientific
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based on machine learning. Reference number 08/26 Your tasks 1. Assessment and analysis of GaN technology characterization data Identification of outliers during testing, with and without machine learning
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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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of aerosol research with in-depth experience in measurement technology and quality assurance for the Department of Atmospheric Microphysics (AMP). In addition to research activities, the position encompasses
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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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plasma cells within specific regions of the bone marrow. Requirements and Skills: Excellent M.Sc. degree (or equivalent) in the areas biomedical, computational or nutritional sciences A background in
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funding activities in the field of research data management or software engineering Our requirements: University degree in computer science, chemistry, physics, mathematics or engineering, completed PhD in
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interdisciplinary Programme Areas (PAs) which work collaboratively towards achieving ZMT’s mission. This position will be located in and contributing to PA2 - Global Change Impacts and Adaptation, which addresses