12 machine-learning-"https:"-"https:"-"https:"-"https:" uni jobs at Leibniz in Germany
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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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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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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Learning, especially in spatiotemporal modelling, environmental data analysis, or multimodal learning, Practical experience in applying Machine Learning, ideally including deep learning, foundation models
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with machine learning approaches, which have revealed significant fluctuations in marine CO₂ sinks over interannual to decadal timescales — fluctuations that need to be better quantified. To advance
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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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. Soc. 2025; Bohg et al., Angew. Chem. Int. Ed. 2026). The PhD students will have the opportunity to learn how to produce membrane proteins using cell-free expression and to perform solid-state NMR as
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using the public transport Easy accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits
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talent is a matter of concern to us: We provide support for various qualification and further training opportunities, digital learning platforms with numerous different online courses can be used
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. Excellent English language skills for both oral and written. communication; learning German for stakeholder interactions is expected. Enthusiasm to collaborate in a team of aquatic scientists from diverse