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27.03.2026, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe data-driven
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the PhD Students to: - Perform the analytical determinations for the different models, including sample preparation, and analysis of various lipid compounds, mineral elements and stable isotopes
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biological data from imaging and to support individualized dosimetry in theragnostic protocols, - Developing and applying standardized image analysis pipelines and translational impact to ensure reproducible
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stakeholders and external clients/sponsors. Ensure all data handling and analysis comply with stringent data security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data
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literature search and preregistered meta-analysis Coordinate MRI data collection with the technical team at the Leiden University Medical Center (LUMC) Perform fMRI preprocessing and statistical analyses
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples
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data analysis skills, including experience with R, Python, MATLAB • Excellent written and verbal communication skills • Strong organizational and interpersonal skills and ability to work collaboratively
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funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in hydrological modelling, time