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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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applied to new members of the staff. The salary of the position is based on the salary system for the teaching and research staff of Finnish universities. The salary consists of a job-related salary element
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issues of learning by developing and applying the latest data and AI-based technologies and methods? Applicable research fields: Learning Analytics, Computer Science / Information Technology, Mathematics
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expected to: Develop and apply quantitative methods specifically tailored to the goals of the BIOBANG project. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
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skills (R or other relevant programming language) Knowledge of common molecular biology research methods Proven ability to conduct independent research and publish in internationally recognized scientific
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chemistry synthesis and chemical safety Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR
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well as cutting-edge systems biology methods, such as CRISPRi and nascent transcriptomics methods. The training could be furthered by research visits within our collaboration network of well-regarded laboratories
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chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (a maximum of 50 % of the job-specific component). The
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in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell omics data from human patient samples. Individuals with a strong
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author) in the field of computational biophysics (molecular dynamics simulations and/or quantum chemistry). Any experience in development and application of AI/ML methods in tandem with modeling and