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the Data Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in
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yourself at the interface between protein science, food science, analytical chemistry, and data science and? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty
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design to improve on-site waste management The development and implementation of initiatives that enhance waste sorting quality and documentation practices The application of analytical, computational, and
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streams and generate data for analysis and model validation. The project is embedded in the international research projects BeyondBattRec and SpurUp, so you will collaborate with partners across
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research that combines theoretical development with system-level understanding, and you are able to approach complex problems in a structured and analytical manner. You take responsibility for your own
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of mapping as an analytical and generative research method. Applicants must hold a Master’s degree in sustainability and planning, urban studies, sustainability and design, geography, or a related discipline
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Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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, bioelectrochemistry, electrochemistry, photochemistry, analytical chemistry, and/or spectroscopy will be considered an advantage. Strong communication skills in English, both written and spoken, are required, as the
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, the spatial and temporal resolution of EO data. MASSIV-EO aims to overcome these limitations through foundational research on architectures and methods for the real-time delivery of EO data from dense