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Monitoring of grazing animals using sensors and data science. University Liege (BE) & University College Dublin (IE) Position I Assessing soil and crop health across sugar-beet producing farms. Poznan
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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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the Institute of Smart Sensors at the University of Stuttgart. There, a chip-scale microwave resonator circuit will be developed and optimised for the use with two maser gain media, pentacene doped p-terphenyl
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good understanding of sensor selection and instrumentation is essential. You will need to be pro-active, organised, and able to work well with technicians and laboratory support staff. Funding
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the project activities. – Assist in the dissemination of project results through presentations, publications, and stakeholder engagement. Development of algorithms (80%) – Conduct a comprehensive review of the
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballots using the STV method. Our first point of
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skills and motivation to implement algorithms and test them in practice on large-scale problems. Programming Skills: You are proficient in at least one scientific programming language (such as Python
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph