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application between UHasselt (Belgium) and Université de Lorraine (France). During your PhD trajectory, you will be mainly based at UHasselt (in the Analytical and Circular Chemistry (ACC) Group, IUMAT, prof. W
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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chemistry Experience in organic synthesis and, ideally, in polymer synthesis Experience with analytical methods for polymer characterization Very good knowledge of electrochemistry and, ideally
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strong analytical and academic writing skills excellent written and spoken English Candidates who are close to completing their master's degree may apply, provided that the degree is completed before
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academic record demonstrate knowledge of research methods relevant to the proposed PhD project strong analytical and academic writing skills excellent written and spoken English Candidates who are close to
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: Transversal Methodological Approach This section is dedicated to the development, testing, and validation of methodological frameworks, analytical tools, and research approaches that can support all other
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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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designed to increase the knowledge, skills and aspirations of UK battery related PhD researchers, and setting up individuals for career success. The project will combine synthetic and analytical chemistry
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solid foundation in empirical research methods and applied statistics; an interest in measuring subjective and patient-reported outcomes; good analytical, organisational and academic writing skills
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), applied statistics and/or machine learning on omics data; an interest in translational research and biomarker development; strong analytical and problem-solving skills and the ability to work independently