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. Tejpar at the KU Leuven, investigates stromal-epithelial crosstalk in colorectal cancer (CRC) initiation, progression and therapy resistance. Using state-of-the-art single-cell RNA sequencing (scRNAseq
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next-generation sequencing data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous The candidate should have a cross-disciplinary aptitude, strong
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of multiple Ph.D. candidates, post-docs, senior research scientists and professors, all contributing with their respective expertise. Your profile Required: M.Sc. in Physics is ideal but also M.Sc. in Materials
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the project poses significant challenges, you will be supported by an expert team of multiple Ph.D. candidates, post-docs, senior research scientists and professors, all contributing with their respective
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technologies, ensuring their technical quality and relevance Apply and contribute to the further development of the EVITA methodology for aligning training content with identified competencies, skills, and
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meaningful manner, aligned with EHDS regulations and TEHDAS 2 guidelines. Your responsibilities include: Developing and implementing a standardized, interoperable and AI-ready data infrastructure using
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your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus Transcript of all modules and results from university-level courses
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challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological
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for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus Transcript of all modules and results from university-level courses taken Early application is
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Applications should include: Curriculum Vitae Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus