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Field
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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, and in high-quality scientific publications. Contribute to the supervision of MSc and PhD students, fostering an inclusive and supportive research environment. Your profile You hold a PhD in
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by
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of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
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and supervision of students at the bachelor's, master's, and PhD levels. Qualifications for the postdoctoral position Academic qualifications at PhD level in animal or veterinary sciences. Research
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-resolution microscopy Genome editing (e.g., CRISPR-based approaches) Quantitative and live-cell imaging Functional genomics The project is embedded in an interdisciplinary research environment combining
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-year research project aligned with the faculty’s research profile and fitting into one of the faculty’s research groups. You hold a PhD in medicine, biomedical engineering, biomedicine, epidemiology