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research group focusing on sustainable critical raw materials recycling, green organic synthesis and mechanochemistry. He and his evolving group are hosted at the Synthesis and Analysis floor by Professor
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of high-dimensional omics data, ideally including longitudinal data. Excellent programming skills in R. Demonstrated track record in bioinformatics and/or multi-omics data analysis. Ability to work
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in molecular biology or related fields Practical experience with genomics and bioinformatics methods A solid knowledge of single cell omics technologies and data analysis A strong research record
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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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role (i.e., the role would not aim for first or last author publications) Flexibly embark on various data analysis tasks that support lab projects that mostly consist of single-cell transcriptomics
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: http://www.utu.fi/cyber For further information about the position, please contact: Associate Professor Kaitai Liang, [email protected] . With questions about the application process, please contact
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. Collaborate with an interdisciplinary group of universities, research organisations, system operators, energy companies, technology providers, and data centre operators. Participate in data collection, analysis
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considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
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strong background in psychology, but other related areas may also be considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental