26 postdoctoral-soil-structure-interaction-fem-dynamics PhD positions at University of Southern Denmark in Denmark
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. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be
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multidisciplinary research initiative focused on developing intelligent assistive technologies driven by brain-inspired computing. The broader goal of the project is to enable seamless interaction between humans and
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Associations for academics in the state with the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described herein as well as the Protocol
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a profound knowledge on the majority of the following topics: Robot control Reinforcement learning Simulation of robot dynamics Deployment of learning-based solutions Preferably, the candidate has
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areas, based on data from an existing survey that will explore their workload, job satisfaction, family dynamics, work-life balance and challenges faced in providing care. Key Responsibilities: Conduct
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Confederation of Professional Associations (Akademikerne) in the state sector, including the circular on the job structure for academic staff at Danish universities and the specific provisions for PhD positions
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the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the job structure for academic staff at Danish universities and the
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necessity. The research group in Algorithmic Cheminformatics at the Department of Mathematics and Computer Science at SDU offers a dynamic research environment, comprising two full professors, one associate
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on the job structure for academic staff at universities and the regulations for PhD students as described therein. Employment as a PhD student is subject to the circular of 20 December 2021, on the agreement
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breast cancer metastasis. Cancer Cell 38(3):412-423.e9. Papachristou et al., 2018. A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein