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otherwise be lost in the glare of their host stars. The primary goal of this PhD is to develop a novel active algorithm capable of achieving real-time starlight suppression across all wavelengths. The PhD
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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algorithms Perform data analysis, test and debug software Develop, implement and execute plans and tests Design and apply basic data sources and security practices Employ source code control techniques Assist
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sensors to monitor crop growth Develop processing pipelines for image analysis (e.g. segmentation) and trait quantification Design experiments to calibrate and validate growth estimation algorithms under
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at the Intersection of Information, Society, and Methodology (PRIISM) is seeking a part-time senior research scientist to support the Algorithms, Data, and Public Policy Technology (ADAPPT) Lab’s applied research
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contexts. Functions to be developed: Design, carry out theoretical analysis and experimental evaluation of graph protection algorithms, with the aim of guaranteeing properties such as privacy, security
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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simulation tools in python to develop innovative algorithms, then conduct tests on the THD2 testbed to validate the algorithm's performance under realistic conditions, and finaly participate in observing runs
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Developing advanced computational imaging algorithms Proof-of-principle experiments on complex nanomaterials and biological samples We are looking for candidates with a completed university degree in physics