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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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experience and enthusiasm for experimental work Basic knowledge of instrumental and preparative chromatography Fluent in written and spoken English Confident handling of common analytical software (e.g. Excel
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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data Data analysis of mass spectrometry data Your profile Masters, Diploma or equivalent degree in Biology, Analytical Chemistry, Biochemistry or related subjects Good understanding of tools such cell
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scan data is desired Familiarity with analytical tools such as R or Python for statistical and phylogenetic comparative analyses Experience with scientific writing and publishing in peer-reviewed
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biogeochemistry, environmental sciences or a related field is required. Good methodological (theory) knowledge of analytical approaches for measurements of climate-relevant trace gases is required. Knowledge
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS
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Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human