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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher
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demonstrated by a publication record in a top-tier venues. The positions require the ability to work both independently and as part of a team Excellent command of written and spoken English is required
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. Good command of statistical research methods (see methods listed above). Good proficiency in statistical software (e.g., R, Stata). Experience in academic leadership or in supervising postgraduate-level
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hold a doctoral degree in demography, sociology, health sciences, data sciences, statistics, economics, or other relevant field, have strong quantitative methods skills and an excellent command
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. The experimental work will use setups in which environmental conditions are manipulated either in the field or in climate-controlled plant growth chambers. In addition to the core research tasks, the position
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. Excellent communication skills and a strong command of written and spoken English. A clear intellectual interest in organelle biology and its relevance to neuroscience and biomedicine. Preferred
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to periodically update sources served via third parties; conversion of sources acquired; developing and deploying quality control procedures; and preparation of periodic releases and real-time updates to provide
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bright and motivated Postdoctoral Researcher with an excellent record. Good command of English (both verbal and written) and demonstrated ability to disseminate scientific results are mandatory
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium