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suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
statistical analysis of large clinical data. A curious, collaborative, and cross-disciplinary mindset. Good subject knowledge and experience in cell culture will be a plus. Proficient in English (oral and
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. Applicants seeking further information are invited to contact Associate Professor Florin Musat (florin.musat@bio.au.dk) . Who we are The successful candidate will be employed by the Department of Biology at
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Fred Hutch, providing a collaborative environment at the interface of molecular biology, functional genomics, and data science. Fred Hutch hosts more than 200 postdoctoral fellows and offers mentoring
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large datasets. Proficiency in Python, MATLAB, or similar platforms used for image analysis, data modeling, and algorithm development. Experience with environmental analysis or microplastic research is a
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team Sincere interest in analysis of large-scale data – we can provide guidance Your
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-ribosylation or PARP biology Experience with high-resolution LC-MS systems, PTM enrichment strategies, or large-scale proteomics experiments will be considered an advantage. The ideal candidate is
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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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, reinforcement learning, robust or explainable models). • Knowledge of Network Digital Twin concepts. • Experience working with large, real-world datasets and building reproducible pipelines (data quality, missing
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify