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cutting-edge research infrastructure, close supervision by Prof. Spits and Prof. Olsen, plus access to a broad international network of collaborators, a dynamic, supportive, and family-friendly lab culture
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40Geofield Contact City Maastricht Website http://www.maastrichtuniversity.nl/ Street Minderbroedersberg 4 Postal Code 6211 LK STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options
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-informed data analytics tools for the predictive maintenance (PdM) strategy applications to high-value critical assets. Among others, the recently developed Physics-informed Neural Network (PINN) technique
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• Comprehensive skills training across the entire barley supply and value chain – bespoke to meet industry needs • Regular networking opportunities across a large and diverse consortium comprising 22 companies, 42
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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Grand Tours, one-day races (monuments and semi-classics), and select World Tour 1-week stage races. The data sources will include video and previous race commentary to ‘code’ key events in races that help
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professional network Communication skills in Norwegian or another Scandinavian language, both written and spoken If you cannot document skills in Norwegian, Swedish or Danish at level A2 upon employment
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information The position is placed in government pay scale position code 1017 PhD Fellow. PhD Fellows will normally have a starting salary of NOK 550 800. The position follows ordinary meriting regulations
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sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods