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biochemistry to join a newly funded GPCR collaborative project to investigate the structural dynamics of GPCRs and their signaling partners using biophysical methods, including single-molecule FRET (smFRET
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
radar data, programming, and basic knowledge of AI processing methods. Your Tasks Interpretation of the requirements for the training of the 3D-ABC model and downstream task computations in terms
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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field of active tectonics including one or more of the following: seismology, seismotectonics, paleo-seismology, tectonic geodesy, tectonic geomorphology, and numerical/analogue modelling. We are looking
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skillsets. The Wright Group is focused on phenotype-driven studies of gut and oral microbiomes. Within this focus, the research group has a strong program in the synthesis and application of chemical probes
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in basic cellular and immunological methods, including multi-color flow cytometry, ELISA, cell killing assays, experience with analysis of human samples, and extensive experience with mouse cancer
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our