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compression Complete temporal and spectral characterization Optimization of performance parameters Setup and implementation of the pump line (THz) Share this opening! Use the following URL: https://jobs.icfo.eu
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
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optimize patient care. The project will be carried out through plenary and small-group meetings held via Zoom. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information
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and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across
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skills in English are required. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research focuses on the study and optimization of the Laser Powder Bed Fusion
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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Your Job: The objective of this thesis is to model the European buildings sector in our European energy system model, based on the framework ETHOS.FINE, and to optimize the transformation pathway