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expertise in autonomous marine systems. The research focus will be on development, implementation and verification of novel algorithms for motion planning and control of autonomous underwater vehicles. You
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 7 days ago
Institute is seeking a motivated and qualified candidate for a fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with experience in sensor
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Chemistry, Engineering Chemistry, Biochemistry, Biotechnology, Nanotechnology, or related fields. - Proven experience in one or more of the following areas: o (Bio)chemical sensors o Electrochemistry o
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for Surface Chemistry and In Situ/Operando Spectroscopy, led by Prof. Christian Hess, is a multidisciplinary research group that works on understanding the mode of operation of catalysts, gas sensors and
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. Advanced (ambulatory) sensor technology combined with our broad knowledge of the human body as a dynamic system enables (eHealth) technology to improve prevention, diagnosis and treatment of sensory, motor
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algorithms for: Swine production: Early detection of health problems in pigs (respiratory diseases, abnormal behaviors) from video streams. Swine processing: Automated assessment of animal condition and
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structure of the resulting supracrystals plays a key role in determining their macroscopic properties, and hence their suitability for technological application as e.g. catalysts, sensors, or photonic
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Forschungsinstitut für Nutztierbiologie (FBN) | Dummerstorf, Mecklenburg Vorpommern | Germany | 10 days ago
, animal science, biology or related biosciences Basic knowledge of animal behavior, animal physiology, animal nutrition and organic farming High motivation to work with cattle and sensor technologies (GPS
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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic