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Field
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: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based and satellite-based
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) Interdisciplinary experience or openness Knowledge of carbonate deposition systems (e.g., reefs) Experience with aquarium culture maintenance and/or carbonate sediment analysis Experience in imaging/microscopy
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 hour ago
cells Directing a team of technicians and PhD students and collaborating within a highly motivated team in an international environment Collaboration with industrial partners for process development
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collection (focus groups) in five European countries (DE, IT, NL, PL, UK), as well as data management and analysis Author and co-author papers and publications in the frame of the project and with project
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international journals with peer review Outstanding knowledge in statistical and quantitative analyses methods; preferable are also experiences with longitudinal studies and the analysis of longitudinal data
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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
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competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus
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relevant to cardiovascular engineering (e.g. biomedical engineering, medical technology, (medical) physics, mechanical engineering) Expertise in cardiovascular tissue engineering Evidence of productive
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and conducting psychological experiments, with a strong focus on the collection, analysis, and interpretation of neuroimaging data using EEG, fMRI, and combined EEG–fMRI techniques. Your Qualifications
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manufacturing Use and further develop CRISPR (epi-)genome editing methods in CAR T cells Using cellular (e.g., FACS) and molecular (e.g., single cell analysis, next generation sequencing) methods to characterize