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Field
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (three posts) (Ref. 250625011) [Appointment period: twelve to thirty-six months] Duties The appointees will assist the project
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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Job Purpose To make a contribution to a project working with Prof Lee Cronin. (www.croninlab.com). The researcher(s) will be working in the area broad area of chemical robotics and automated
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Norwegian PhD or an equivalent degree within computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a
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The Research Fellow will be supervised by Prof. Christopher Quince (Earlham Institute/Norwich UK), Prof. Iain Chapple (Birmingham), Prof. Moritz Kebschull and Prof. Tariq Iqbal (Birmingham). Their role will
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof