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consultancy and teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish
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for excellently-qualified graduates with a master's degree in computer science, electrical engineering, data sciences, geoinformatics, statistics, mathematics, physics or comparable. Further, the successful
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with top grades in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, Physics, Chemistry, or a similar subject. Most importantly, you should be creative, passionate about
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for benchmarking, HPDA/HPC support, and education (e.g. MOOCs, organizing workshops, facilitating community building). Requirements: Completed university degree in computer science or applied mathematics, remote
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qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Artificial