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to impart both scientific and methodological knowledge and offers the opportunity to regularly present doctoral projects in internal events and benefit from scientific exchange. You can find information
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to impart both scientific and methodological knowledge and offers the opportunity to regularly present doctoral projects in internal events and benefit from scientific exchange. You can find information
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
questions, descriptive and analytical skills, and a clear and persuasive style of writing; You have an interest in palaeography, materiality and non-literary texts; You have experience with or are willing
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Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and
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specimens, on subjects. The incumbent will also need to track subjects and specimens in study database and may need to abstract medical record information on subjects/specimens and enter these data
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communications Data Analysis and Management Implement and open-source proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C
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to be used. The final project description will be developed in cooperation with the supervisor. Want to know more about the position? For further information about the position, please contact Dr Carly
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overactive bladder (OAB). Ideal candidates will have a Ph.D. in a relevant biological or computational field, with strong analytical, laboratory, or multi-omics skills, and a passion for advancing women's
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. Empa is a research institution of the ETH Domain. Our Centre for X-ray Analytics developsX-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences
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chemistry) laboratory; statistical skills for proper data treatment ; experience with programming (R or Python) for data handling and visualisation; strong analytical skills; excellent communication skills