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Field
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requirements Need-to-haves: MSc in water treatment, Environmental Engineering or a related field. Laboratory skills for basic water analysis and willingness to learn more advanced sample preparation and data
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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. You will also collaborate on the analysis and evaluation of collected data and ensure that all data are properly anonymised before publication. Where to apply Website https://www.academictransfer.com/en
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responsibilities include: isolation of individual interaction-specific compounds from soil fungal co-cultures and analysis of their molecular structures via spectroscopy methods; analysis of interactions between
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should shape code and decoder design. Depending on your background and interests, the emphasis can lean more theoretical (bounds, code constructions, information-theoretic analysis) or more algorithmic
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motivated Postdoctoral Researcher to contribute to the development and implementation of the ROUTES' monitoring and design evaluation framework, its comparative data analysis, and the ROUTES Atlas co
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data analysis with microeconomic behavioural modelling, econometrics, machine learning and natural language processing. We exploit longitudinal 2014-2021 data of 1 million social houses and households
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students as needed. Where to apply Website https://www.academictransfer.com/en/jobs/362841/doctoral-candidate-spatial-inte… Requirements Specific Requirements An MSc in physics, meteorology, hydrology