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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are offering an exciting
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43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept cookie and
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and/or job experience in forensic genetics. Experience in working with RNA and/or single cell analysis Good laboratory skills. Good computer skills / data processing skills/ bioinformatics skills Good
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quality control. • Experience working with 16S/18S rRNA sequencing data and metagenomes. • Experience working with Linux environment and using bioinformatics approaches. • Experience conducting fieldwork
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analysis, bioinformatics or in a closely related field (a solid background in applied statistics must be documented) Documented extensive experience in R (or equivalent programming languages) A solid
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architecture to perform distributed simulations on heterogeneous clusters. Following this approach requires rigorous parallelization of code and extensive validation experiments. Ultimately, distributed
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immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with machine learning and or other mathematical approaches used in (bulk and single-cell) immune
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of CCU relevant policy developments at the national level, for instance explored through process-tracing or large-text assessments. The Postdoctoral Fellow is expected to contribute to cross-disciplinary
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relevant policy developments at the national level, for instance explored through process-tracing or large-text assessments. The Postdoctoral Fellow is expected to contribute to cross-disciplinary