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of analytical chemistry Position You work actively on the preparation and defense of a PhD thesis in the field of Analytical Chemistry in the research group of prof. Frederik Lermyte at the Department
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for safeguarding financial stability and international security. This project investigates how blockchain analytics and data engineering can enhance the detection of illicit activities across these decentralised and
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be a key contributor to the EMIR and BEE projects, working at the interface of environmental epidemiology, digital infrastructure, and advanced analytics. The role will involve: Spatial and temporal
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unique opportunity to work at the intersection of spatial epidemiology, environmental health, and AI-driven clinical research, using state-of-the-art datasets and analytical tools. For this function, our
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to research on in one of our teams. The role offers opportunities to collaborate with public institutions, industry stakeholders, and European partners. The candidate should possess: Strong analytical skills
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analytical thinking sufficient foundation in statistics and quantitative skills strong written communication skills experience with health economics and HTA is an advantage (but not a requirement) Fluency in
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, basic in vitro experiments, basic analytical analyses, basic laboratory skills, basic data analyses & statistics. You must have solid knowledge of immunology, oncology, and/or cancer biology. Practical
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and analysis. Advanced Analytics: Implement analysis modules for methylation calling, structural variant detection, fragmentation-based signatures and multi-omics integration. Machine Learning
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impedance analysis; optical and thermal measurement principles are also being considered. The results obtained with the sensor are compared with the results of analytical reference techniques such as
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with your supervisory team. This project will involve experimental design and require strong programming and analytical skills. Collaborate in a team: Work closely with other research project members