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of doctoral degree must not exceed three years, excluding family leave and equivalent periods of absence. Applicants must have outstanding quantitative methods skills and an excellent command of written and
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research. A good command of the English language is required. Considered as an advantage Experience in international research cooperation and international researcher mobility will be regarded as merits
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and museomics Strong bioinformatics skills Proficiency in command-line scripting and programming Knowledge of phylogenomics and population genetics Why conduct a postdoctoral project at the University
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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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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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. 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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Researcher are stipulated by the University of Jyväskylä Regulations and language skills guidelines . The qualification requirements must be met by the closing of the application time. Good command of Finnish
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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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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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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