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industries. Regenerative business is defined as business activities that enhance and thrive through the health of ecosystems in a co-evolutionary process. It is a novel business approach that aims to go beyond
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structures of the future tracker. These activities will be carried out at IP2I. The analysis will mainly focus on the search for CP violation in the top quark sector with data from Run 3 of the LHC
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation (SNSF). We
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and abroad; • Analysis and interpretation of data in connection with theoretical models; • Writing of reports, scientific publications, and presentations at international conferences; • Contribution
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Strong analytical and problem-solving skills with experience in data analysis. Excellent written and oral communication skills. Ability to work independently as well as collaboratively in a team setting
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. Formulate dose-response metrics, perform advanced statistical data analysis, and visualize biological data for presentation to cross-functional teams. Publishing the obtained results in scientific journals
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(RBHS). The primary purpose of the Postdoctoral Associate is to work on research project investigating the neural mechanisms of sensory perception, learning, and decision-making. The laboratory uses state
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who