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://mediatum.ub.tum.de/doc/1687691/ltbbjgwihiht96fqfeblxdyj7.ITSC22_CommonOcean.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines
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Conduct research projects that qualify either for a PhD (for Master's graduates) or as a Post-Doc (for those already holding a PhD) Develop and implement new methods for data analysis and process assessment
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interests, successful applicants will have the following qualifications: Completed or soon-to-be-completed doctorate in one of the following or related disciplines: information science, science studies
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application documents. Curriculum Vitae, including contact details of at least two academic references Academic transcripts (Bachelor’s and Master’s degrees, PhD certificate) Two to three representative
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details of at least two academic references Academic transcripts (Bachelor’s and Master’s degrees, PhD certificate) Two to three representative publications or writing samples (e.g., PhD thesis, conference
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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years. Requirements: Master/Bachelor in Physics, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via
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publish in peer-reviewed journals Your Profile: Master and preferable subsequent PhD in computer science, natural sciences, mathematics, or a related field, with a strong scientific record documented
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such as geography, ethnography or computer science to develop a first mapping of the spatial extension of the cryosphere and its historical development: a planetary atlas of artificial cold. Tasks also
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qualifications: A Master`s degree or equivalent and a PhD degree in VLBI, radio astronomy, astrophysics, astrometry, geodesy, or a related field Good understanding of the estimation process and astrophysical