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significant part of the project will be dedicated to the analysis of the complex electrophysiological data. This analysis will be carried out in close collaboration with computational neuroscientists. Although
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performing data analysis of B cell receptor repertoire data using programming languages (mostly R) Successful candidates can think independently, are eager to acquire necessary new skills, and are excellent
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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familiarity with data management techniques and statistical analysis in economics. Where to apply Website https://convocatorias.rrhh.uclm.es/convocatorias.aspx?c=15501 Requirements Research
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will receive hands-on training in spatial data analysis, while developing conceptual understanding and critical thinking in movement ecology, marine science and conservation. You will build strong
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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, including survival analysis, longitudinal data analysis and meta-analysis. Experience with HIV research, particularly advanced HIV disease and opportunistic infections, strongly preferred. Experience with
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developments. Specific research activities include development of advanced processing and analysis pipelines for human in-vivo and ex-vivo imaging data, correlation with histopathological data, and clinical
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and Space Weather. The successful candidate will contribute to the development, testing, and operation of solar monitoring stations, real-time data pipelines, and AI-based analysis tools. The position
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partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector ecology, dynamics and behaviour. You will use results