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this project will be to study the capabilities of LDMX to handle pile-up (multiple electrons hitting the target at the same time) in more detail. This will mainly be based on simulation-studies of potential
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calendar for proactive planning. Oversees and mentors a team of social media specialists and student assistants across multiple campuses, providing direction, training and support while ensuring daily
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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High
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Requisition Id 15253 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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, mathematics, data Science or related disciplines with a proven track record of expertise/expertise in tool and algorithm development and/or applied bioinformatics, who are also keen to expand our research
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software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities
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practical basic algorithms and data structures in practical implementation experience. High-level programming languages (e.g., Python), proficiency in multiple languages is preferred. Preferably with medical
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of machines and structures in collaboration with other departments from Aarhus University and multiple industrial partners; including a world leader in sensing technology. In particular, the algorithm platform