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at the leading edge of scientific discovery and will therefore require methodological work, algorithm development, and technical developments. The ideal candidate will be proficient in R and/or Python, have strong
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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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/genome biology, minimum grade B (ECTS grading scale) or equivalent. The Master’s degree must include a thesis of at least 30 ECTS. Programming skills in Python, R or equivalent scientific computing
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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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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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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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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