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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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sources Design reproducible studies and evaluate models using appropriate analytical methods Build and evaluate reproducible longitudinal models and research software Write scientific articles and
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-integral and nonequilibrium Green-function methods, complemented by numerical approaches based on tensor networks. The Condensed Matter Theory group of Tero Heikkilä has strong expertise in non-equilibrium
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for our research, with a strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten
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operation, investment, and consumers. The project will produce new knowledge on electricity market design, system-level cost assessment, and demand-side flexibility, as well as new datasets, modelling methods
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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at the Department of Technical Physics. The aim of the project is to develop and validate image reconstruction methods and hardware for low-field (~50 mT) magnetic resonance imaging. As our new Postdoctoral
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the dynamics of therapy-resistance by combining advanced molecular biology method development to multi-omic single-cell analyses of both ex vivo models and clinical tumor specimens. Our novel, in-house
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generation and analysis Advanced molecular biology methods Animals models of inherited eye diseases Postdoctoral researchers have a teaching load of up to 10% of their annual working time. The chosen applicant
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear