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Diabetes2Care a consortium around Diavantis B.V. has set of to develop an app that enables people with type 2 diabetes to take control and more responsibility for their own health. The Discret Technology and
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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, to design and optimize the control of complex industrial processes and systems. Key application areas include energy systems, opinion dynamics, robotics, and mechatronic systems, among others. For more
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of the planning and implementation processes with emerging energy technologies. You will develop and execute trainings and workshops for practitioners based on theories in Environmental psychology and empirical
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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scientific confidence in new approach NAMs robust and efficient processes are essential. NAMs must be purpose-fit, reliable, and—when assessing human health effects—provide data that is relevant to human
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staff position within a Research Infrastructure? No Offer Description In this position you will have the opportunity to investigate the formation of N-species emission control in dual fuel/methanol
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skills; Ability to work both independently and as part of a team in an organized and results-oriented fashion; Research and manuscript writing is conducted in English and therefore excellent command
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assist in data management, permitting, and public engagement. The project is part of the NWO-VICI awarded to Prof. dr. A.G. Henry, titled: “Hominin FoodWays: Changing diet and food processing across
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and scientifically. Excellent written and oral communication skills in English. You also have: A PhD degree in biomechanics, mechanical engineering, control engineering or a related field. Knowledge of