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include experience with high-performance computing (HPC), initial experience with ecosystem models, willingness and ability to actively contribute to interdisciplinary teams, knowledge of climate-relevant
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QCLs) for high-resolution spectroscopy. Within the framework of the priority program INtegrated TERahErtz sySTems Enabling Novel Functionality (INTEREST) funded by the German Research Foundation (DFG
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
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students on the campus, offering the chance to engage and connect - our PhD Representatives offer information and advice when needed access to high-performance computing a chance to contribute meaningfully
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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for carbohydrate analysis using ion chromatography (e.g. HPIC, HPAEC-PAD, LC-MS) and preparative column chromatography Planning and carrying out sampling as part of field campaigns Independent performance
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to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science converge
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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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periods such as adolescence, starting college or a first job, and becoming a parent, as well as on high-risk populations including individuals with minority identities, teachers, and healthcare