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independently in a structured and goal-oriented manner, and possess excellent social and communication skills. Required: Master of science degree (MSc) or equivalent in botany, evolutionary biology or
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Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments : University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling
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algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in resource and data usage, reducing environmental impact, and ensuring
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close collaboration with industry and the public sector. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries
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science degree (MSc) or equivalent in botany, evolutionary biology or biosystematics, and must have submitted master’s thesis for assessment prior to the application deadline. It is a condition of
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: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. For further details, please visit our webpages Optimized
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computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
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models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek a candidate
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, natural language processing, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and express willingness to increase technical proficiency through programming coursework
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a basic understanding of key AI concepts (machine learning, neural networks, natural language processing, prompt engineering, human-machine interaction, algorithms, training data, bias etc.) and