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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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Wyższa Szkoła Informatyki i Zarządzania/Univeristy of Information Technology and Management | Poland | 1 day ago
, engineering and technology, or the natural sciences highly developed analytical skills in the areas of data analysis, business analytics, and the application of modern technologies experience in designing and
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the implementation of experiments, including the preparation of computer programmes, the execution of tests and the systematic recording of results • Preliminary analysis of data and results • Research into emerging
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of Physics and Applied Computer Science at AGH University of Krakow. The research work concerns the preparation and analysis of simulation data, work on the design of medical phantoms with high spatial
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of optical signatures related to the morphological and metabolic state of cells, while bioelectrical impedance analysis (BIA) provides complementary information about their intracellular electrical properties
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, and citizenship); - Experience in building and organizing databases using international, national, and local data sources; - Experience in quantitative data analysis; - Work schedule and location: a
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glasshouse environments into real-world breeding programmes. This is an exciting opportunity to work at the intersection of computer science, data analysis, and agri-tech innovation. Key Responsibilities
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machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
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data management and ensure implementation of agreed quality control and assurance systems to ensure a consistent and standardised approach across studies and teams Conduct analysis of data and summarise
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the field of: - analysis and quality evaluation of food products; - particular expertise in sensory analysis, data collection, sampling, and statistical data processing. The interview will be held in Italian