10 distributed-algorithm-"Newcastle-University"-"Newcastle-University" Postdoctoral positions in Belgium
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. Responsabilities: Investigate existing verification and validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations
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development of (open source) tools and algorithms for numerical simulations; o supervise PhD students conducting research in the field of this vacancy; o take responsibility for project coordination
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science, mathematics, computational physics/chemistry or equivalent. The candidate: must demonstrate expertise in algorithmics/machine learning/artificial intelligence must show motivation in the interdisciplinary
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optimization algorithms (e.g., SAT solving, constraint solving, MaxSAT, SAT modulo theories, Answer Set Programming, (Mixed) Integer Programming, ...). We offer a fully-funded postdoc position, initially for 12
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efficient decoding algorithms" supported by the Luxembourg National Research Fund (FNR). The APSIA Group is seeking a highly qualified post-doctoral researcher for this project. For further information, you
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Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and
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the field of analytical and/or simulation methods for composite materials. You have extensive experience with development and implementation of algorithms for modelling of composites You have experience with
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postgraduate academic education. You have relevant scientific publications in widely distributed international and national scientific journals that call on experts to assess the manuscripts submitted. OUR OFFER
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have