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of using quantum algorithms in their simulation tasks. We expect the applicant to have strong experience on quantum computing and/or quantum inspired classical algorithms targeted to such simulations, along
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R, algorithms and systems designed to extract insights from large datasets. Experience with integrating and analyzing diverse data sources, such as biodiversity (e.g., the IUCN Red List of Species and
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Python, R, and Linux shell scripting. Hands-on experience with HPC environments, workflow management systems, and job schedulers. Expertise in machine learning and its application to biological data
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on the tenure track is based on scheduled appointment reviews, which take into account the candidate´s merits in all evaluation areas. What we offer All our work is guided by the values of the university
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, theme, discipline, and language of dissertation abstract background, purpose, and significance; implementation, data and research methods, and publication plan; ethical issues current state and schedule
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memorable experience for doctoral researchers. You will work in close collaboration with other colleagues. Your tasks will include: contacting doctoral researchers, organising logistics and scheduling events