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deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine which features are relevant? These questions
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interactions and microbiome research; an interest in quantitative biology, phenotyping and data analysis; the ability to organise research activities effectively, to communicate research findings to different
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data. Change: The CROPWAVES project will exploit satellite-based products for soil moisture and vegetation using data assimilation to improve global-scale crop and climate models at different resolutions
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Good to very good grades First experiences with algorithm development preferably using Python or MATLAB Basic understanding of Quantum Optics and Interferometry Interest to learn about Fourier optics and
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documentation of experiments, system tests, and component validation Software programming (C++ or Python) for device control, data analysis, and simulations What you contribute Full-time student of physics
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and satellite network performance from user devices, particularly Direct-to-Device. Assist in the development of models to predict or explain network behaviour under different conditions. Contribute
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econometric skills and experience using statistical software such as Stata, R or Python. You will bring demonstrated experience in empirical research, survey design or implementation, data analysis and research
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of selected video anomaly-detection models, and help deliver comparative experiments across different models, thresholds and scene conditions.You will analyse false alerts and recurring failure patterns
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student at the Faculty of Science at naturvetenskap.se . We are seeking a PhD student in theoretical astrophysics. The PhD student will study how planets form at different times and in different regions
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, formulate conclusions, and inform team leaders. Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (R preferred, Python acceptable). Contribute