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Field
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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multidisciplinary project at the intersection of Robotics and wildlife conservation. The project aims to develop autonomous drones capable of perching on natural structures, inspired by the way birds rest on branches
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currently deposited at Zenodo. We will re-annotate the proteins to comprehend the underpinnings of fungal ecology and adaptability. The project will integrate information on the evolution of Mortierellomycota
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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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activity to mouse behavior” (Program Coordinator Prof. Froudarakis) invites applications for one (1) motivated PhD student to assist with the understanding of the algorithm that the brain uses to identify
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working
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Computer Science• Distributed systems (Cloud, Edge)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other
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Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more