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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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expression and developability. Propose and validate optimization tools for performing (Bayesian) design of experiments. System validation and iterative refinement based on empirical data. Test and refine
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). Footage will be collected using various underwater cameras deployed near the seabed. The sampling methodology is considered non-invasive because no fish is harmed, and the sampling infers almost
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to survive transients without exceeding load limits; ▫ maximizing cut-out wind speed(s); Key aspects include observing & inferring usable flow field quantities via the AWES device; trajectory optimization
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be integrated in the Kloverpris lab as part of NIVI-R. Project description The PhD project will focus on tracking the immune and epithelial changes in the respiratory tract from a human clinical trial
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teaching track record and portfolio. Targeting aberrant biomolecular condensates in the PSD The five key proteins present in the PSD (PSD-95, SynGAP, Homer, Shank and GKAP) are important for normal brain
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developing and deploying an ocean‑monitoring system for offshore installations. The research will integrate optical and acoustic sensors, autonomous data collection, and advanced perception methods to track
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presentations to track achievements and identify any challenges during the project lifecycle. The candidate must have: We are seeking a highly motivated and interdisciplinary researcher with the following
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learning-based detection Multi-camera-multi-object tracking using fisheye cameras Deployment of deep learning-based solutions Familiarity with the agricultural domain Furthermore, the successful candidate is