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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks We are seeking an international visiting researcher to collaborate on an innovative research
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methods on identical locations, to investigate their structural, morphological and functional properties. Able to work independently, in a team and collaborate with other researchers and mentor junior
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well as the changes affecting them. Join SEAMPHONI, an EU‑funded consortium of leading European marine research institutions, to pioneer methods for evaluating parasites of protists—especially phytoplankton—using eDNA
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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with corpus collection and annotation Familiarity with experimental design and statistical analysis methods Fluency in English Not required, but desirable: Familiarity with speech processing
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explain the evolution of common ground in humans. For more information about the methods and data, see the following articles: Requirements for employment are a completed M.Sc. or equivalent in a relevant
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the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various spectroscopic and imaging methods
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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are pursued by this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
for highly-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting