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optimisation of analytical methods for VOC characterization. Chemical analysis of air and rainwater samples using advanced instrumentation. Data processing, statistical analysis and interpretation of large
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
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data, including Digital Image Correlation (DIC/DVC) and three-dimensional image analysis. Generation and exploitation of digital models based on experimentally acquired geometries. Scientific programming
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: Experimental evaluation of biomarker behaviour under differing rehydration strategies (i.e. water-only versus electrolyte-supported rehydration). Data analysis and classification framework Data collected across
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pharmacokinetic models and signal analysis methods that turn nanobubble transport into a diagnostic biomarker. Information Prostate cancer is the most common cancer among men in the Netherlands, and its diagnosis
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 11 hours ago
coding, skills in statistical data analysis (especially social network analyses), and programming (e.g., in R). More important than specific prior experience is enthusiasm for learning and the demonstrable
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-tube system. All datasets will be integrated into a comprehensive data analysis workflow, using statistical and forward modelling methods to calibrate and validate numerical models. This combined
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duties, up to a maximum of 20 per cent of full-time. Within the division several different research areas are represented. In particular we have a group in Potential Theory and Analysis on Metric Spaces
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dementia and co-occurring age-related conditions. The student will work at the intersection of dementia research, genetics, epidemiology and data science, gaining experience in the analysis of large-scale
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research