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findings in a PhD thesis and peer-reviewed articles and give presentations at consortium meetings and (international) conferences. Where to apply Website https://www.academictransfer.com/en/jobs/364083/phd
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, www.zamanilab.org ), Department of Clinical Genetics at Maastricht University and Maastricht University Medical Center (MUMC+). Our lab develops and applies advanced single-cell and liquid biopsy genomic and AI
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technical expertise to study the oligodendrocyte myelin sheaths in brain tissue in health and disease. Many brain disorders, including rare genetic white matter disorders (leukodystrophies), but also more
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algorithms in front-ends, wireline and wireless interfaces, converters, FPGAs, microprocessors, microcontrollers and IP cores throughout all project phases; analysing and profiling the implementation
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structural glycoproteomics. For development and translational research we make use of patient samples and models with defined genetic and/or biochemical defects that require structural glycoproteomics
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worldwide. Your work will include: Apply existing machine learning algorithms for automated detection of CO plumes in satellite observations Building a global catalogue of CO emission events from 2018 onwards
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learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms
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and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR compliance, and contribute
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use, and long-term crop management goals. While several algorithms have shown promising results in energy savings and crop yield, most of these methods have only been tested in simulation, and make use
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You