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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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holding a master degree in mathematics, computer science, physics, geoinformatics, data science, or related fields. You should be interested in independently investigating scientific questions and working
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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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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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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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Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You
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/theory or a MSc degree in mathematics with a minor in computer science. The Position is for 2 years with the possibility of extension. The starting date is negotiable. We are interested in filling
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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24.02.2020, Wissenschaftliches Personal The research group “Fluid Dynamics of Complex Biosystems” headed by Prof. Dr. Natalie Germann has an open PhD position in the field of experimental rheology. About us The research of Professor Germann’s fluid dynamics group focuses on the thermomechanical...