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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Department of Data Science and Artificial Intelligence Postdoctoral Fellow / Research Assistant (Ref. 250915013) (1) Postdoctoral Fellow (two posts) [Appointment period: each for twenty-four months
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at the Science for Life Laboratory in Stockholm, a centre for large-scale life-sciences. NRM has a close collaboration with nearby Stockholm University, which includes joint supervision of PhD students. NRM has
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Information Eligibility criteria The candidates should have experience in modeling large-scale networks comprising multiple neuronal populations, and demonstrate solid knowledge of analytical and numerical
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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motivated candidate to carry out bioinformatic analysis on large genomic datasets, with comparisons to associated metadata. This will include development of analysis pipelines and interpretation of whole
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POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets towards the ultimate goal
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 7 hours ago
research, encompassing large observing programs in planet and star formation as well as exoplanet search, instrumentation development, theoretical modeling, and laboratory astrophysics. A number of exciting
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projects in reproductive genetics, implemented at the Chair of Human Genetics under the supervision of the responsible PI. Tasks involve large-scale genetic and genomic data anlaysis and participation in