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operational design. Design reproducible scenario and sensitivity analyses to quantify model uncertainty and identify the parameters that most strongly affect storage performance. Assess sustainable infiltration
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of radar instruments, i.e. distributed SAR and near-nadir looking interferometric imager, to evaluate various fractionated space systems on their suitability as radar instruments, and to develop system
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, to derive high-level user requirements of two classes of radar instruments, i.e. distributed SAR and near-nadir looking interferometric imager, to evaluate various fractionated space systems
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Are you excited about pushing the boundaries of ultrasound imaging? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition
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write research papers and a policy brief. In addition, you will help with organising and running a scenario-analysis for possible futures about organisational family friendly policies with relevant
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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Specific Requirements You are an ambitious, curiosity-driven and collaboration-oriented plant scientist, with: a strong academic track record and a PhD in plant biotechnology, plant molecular genetics or a
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging solutions to accelerate the energy transition to climate-neutral cities. The research