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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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, develop connectivity analysis techniques for dynamic brain PET data and explore artificial intelligence solutions to improve brain PET quantification. As a PhD candidate, you will contribute
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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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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
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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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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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the student to progressively acquire knowledge in scientific methodology, experimental research, data analysis, and scientific communication. As part of your doctoral studies, your duties will include
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university, or an equivalent standard from an overseas university, in a relevant subject such as imaging, biology, biochemistry, chemistry, biomedical sciences, pharmaceutical sciences, data analysis
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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and analyze relevant data and information. Develop and use TIMES-based models. Scenario analysis and communicate results from the analyses. Write scientific journal articles both individually and