130 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Leibniz in Germany
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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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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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. 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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(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
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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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to work on policy instruments for climate change mitigation knowledge of R and/or Python for conducting econometric analysis or text analysis (or an interest in learning) high diligence and strong attention
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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
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desirable. The ability to publish and teach in German and English, as well as in a disciplinary and interdisciplinary manner, is mandatory. If German is not your native language, you must provide proof
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The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all
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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun