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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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on FNR’s prestigious PEARL program, and has the option for an affiliated professorship. Both LIH and DFKI pledge their full commitment to ensuring that this new position becomes a cornerstone in the
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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We are seeking a highly motivated postdoctoral researcher with the following qualifications: • PhD in Mathematics, Computer Science, or a related field. • Solid background in optimization and/or
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has a wide range of applications in domains focused on monitoring and securing complex systems, including mobility, manufacturing, communication, economics, and environmental science. These domains
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responsible to develop and test the new software in collaboration with experts of genomics at Joliot and of computer science at MdS. Your mission will include: Discussions and set-up of the physical models
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on Neural Information Processing System [20] Anish Agarwal, Munther Dahleh, and Tuhin Sarkar, A marketplace for data: An algorithmic solution, in Proceedings of the 2019 ACM Conference on Economics and
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Master’s degree in Health Engineering is recommended. ➢ Proficiency in English is recommended. The desired profile combines scientific rigor, the ability to work independently, and team spirit within a
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advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific