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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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the imec-Vision Lab (image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy
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study results. You can demonstrate strong quantitative skills. Interest in or experience with the design, conduct and analysis of discrete choice experiments is an asset. You can demonstrate experience in
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critical, scientific mindset and are interested in proteomics technology and data analysis. You have basic knowledge of statistical tools. What we offer We offer a full-time PhD scholarship for a period of 1
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? Methodological analysis: What research methodologies could you use and how? Work plan: How would you go about developing this research further? What sources would you consult? What are some risks or challenges
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Doing experiments in imec’s high-tech cleanroom, using the most advanced EUV lithography equipment Collaborating with imec experts on material characterization Data analysis, interpretation of results and
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concerning the detection of casewise and cellwise outliers using robust statistical methods. This project is within the thematic field “Robustness in complex data analysis and statistical modelling
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to the construction of affordable, robust, and portable detection platforms. Due to the integration of biorecognition elements, such as aptamers, electrochemical biosensors are ideally suited for the selective
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energy requirement of the oxygen evolution reaction necessitates the use of costly, scarce and unstable precious metal catalysts, which pose a challenge for large-scale implementation. To address
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student should lead innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific