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, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It requires perseverance
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the area of computational modeling and large-scale simulations of physical systems by utilizing advanced computational methodologies across scales, modern statistical (e.g. Bayesian) approaches, and machine
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techniques In-depth knowledge of ML frameworks like Tensorflow, Keras or PyTorch Good understanding of Statistics and Probability, Linear Algebra and Calculus concepts Familiarity with data structures, data
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/public sector. Collection and statistical analysis of data from various application domains. Close collaboration with cross-functional teams, such as researchers, product managers, backend engineers, data
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27 Mar 2024 Job Information Organisation/Company CYPRUS MARINE AND MARITIME INSTITUTE Research Field Computer science » Programming Mathematics » Statistics Mathematics » Algorithms Other Researcher
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FieldMathematicsEducation LevelMaster Degree or equivalent Specific Requirements Required Qualifications Master Degree in Environmental / Atmospheric or Chemical Sciences or Engineering or Mathematics, Statistics or Data
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. Implement research studies on hydraulic and water quality modeling using real and simulated data. Employ advanced statistical methods and/or machine learning techniques for data analysis. Design and
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statistical analysis to analyze complex environmental data and design systems that assist in decision-making. Develop methodologies for monitoring, control, optimization, and decision support for water systems