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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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, ensure smooth communication with the project’s scientific lead, and collaborate with ISIMIP scientists. Your role includes: Working with climate forcing and impact data, improving data quality methods, and
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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landscape ecological methods to investigate whether gene flow occurs primarily via bumblebee-mediated pollen dispersal or via animal-mediated seed dispersal. Together with partners from France, Belgium
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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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funding programme therefore invites young scientists in Southeast Asia to submit project applications for field and/or laboratory research, in particular for explorations and excavations of new fossil sites
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-line representatives (non-avian theropods) Collection and documentation of morphological, embryological, and ecological data Application and adaptation of various scientific/statistical methods (e.g
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a relevant subject area (e.g., sociology, economics, social sciences, empirical education research) Very good knowledge of quantitative analysis methods and confident use of statistical programs
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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database