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Field
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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qualified and motivated individual with a strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal candidates are those aiming for a long
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to enable safe navigation, using the event camera as the primary sensor. The approach leverages prior information such as object detection, optical flow, and depth, while also integrating multimodal inputs
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme allows scientists to carry out research with German colleagues at universities, universities of applied
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are initially limited to three years. The Microbiome Dynamics (MBD) department contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and
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positios are initially limited to four years. The Microbiome Dynamics (MBD) department contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring
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scalable system that supports cutting-edge biomedical research. Key Responsibilities: Define and maintain the overall system architecture, ensuring alignment with project objectives and interoperability
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contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers