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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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- 20 hours per week. Key responsibilities: Support a systematic review and meta-analysis of quantitative ex-post evaluation literature in climate policy; Conduct structured searches using academic
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guided by the values of open science. In addition, ZPID is currently establishing research groups in meta-science and science acceptance. Join the growing ZPID team! Current opening: Postdoctoral
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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scientific work context; A sound understanding of evidence synthesis (e.g. meta-analysis, systematic review, systematic map) or how to set up tool evaluations - as a strong asset; Preferably experience in data
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
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-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
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near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
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guided by the values of open science. In addition, ZPID is currently establishing research groups in meta-science and science acceptance. Join the growing ZPID team! Current opening: Postdoctoral