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Your job Are you that researcher passionate about developing sensor and measurement systems that integrate engineering and soil sciences? Are you an engineer who enjoys working with soils and crops
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, and our goal is to generate knowledge that supports both animal dignity and economic viability. We use innovative technologies such as sensor technology, big data analytics, AI, and microbiomics. Most
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, with the aim of contributing knowledge that supports both ethical and economically viable animal farming. We employ innovative technologies such as sensor technology, big data analysis, AI, and
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experiment. This PhD position is embedded in the EU Horizon Europe Marie Sklodowska-Curie Doctoral Network (MSCA DN) SMARTTEST project. This position is based on Doctoral Candidate 8 (DC08). Check the website
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strong academic record with a solid background in Machine Learning (Deep Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills
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Delft explores AI-driven methods to enhance closed-loop simulation for safety-critical scenarios. A key focus is developing learned simulators that generate radar and lidar data from camera sensors
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welded joint. The main goal of these tests is to assess the fatigue strength and remaining fatigue lifetime after repair. During the tests you will monitor fatigue damage development with different sensors
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to conferences and professional networking opportunities. Job requirements MSc degree in Electrical Engineering or a related field Strong background in signal processing and its application to radar systems
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and waterscapes, through a.o. deployment of a range of smart participatory science approaches (e.g. citizen observations, cheap sensor deployment) together with local water users, water owners
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sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation