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-neutral energy systems is reshaping landscapes and affecting biodiversity worldwide. Achieving net biodiversity gain while advancing renewable energy development is an urgent societal challenge. Do you want
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
innovation network as well as an excellent location for science and technology. Together with its renowned partners, BTU forms the Lausitz Science Network – an alliance of research institutions that jointly
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alarm protocols; experience in sensor deployment/SCADA and data processing. Ability to optimize regeneration systems and integrate them into service networks; knowledge of EU regulations on water reuse
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wearable systems, including artificial hearts, blood pressure sensors, and soft robots for the heart, which adapt to people's physiological and mental needs. In this project, you will closely collaborate
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., sensor, field) coordinate and document data flows between citizen-science platforms, AI processing pipelines, and institutional or external repositories to ensure data integrity and traceability implement
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. Photothermal heating should therefore be minimized to enable practical applications of plasmonic sensors. In addition, such photothermal heating is not only detrimental in the area of biosensing, but equally
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in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science/ ). The research programme in
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the largest individual research program in Sweden. Please see https://wasp-sweden.org/ for further details. We are seeking up to two qualified candidates who can collaborate effectively as a team. We strive
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for soft and continuum robots, integrating advanced sensing technologies for shape and force estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and