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emotional aging brain. We are running a multi-modal, deep sampling study in which participants will be tested over a period of time extensively. We will examine the whole brain as well as areas such as the
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
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, training deep learning models to adapt designs to boundary conditions, and integrating FEM workflows within parametric modeling environments like Grasshopper. The candidate will contribute to building a
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, machine learning techniques, and programming is highly desirable. Genuine interest in deep graph neural networks models. Personal characteristics To complete a doctoral degree (PhD), it is important that
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and written communication skills in English Experience with relevant deep learning and machine learning methods An interest in the biomechanics of human motion Colourbox via Unsplash Colourbox Personal
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deep interaction with nature. Core questions concern how current and potential future sport relate to requirements on sustainable development and ecological values. Human Movement Skills: Epistemological
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. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks
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-optical frequency division scheme. The successful candidate requires a deep knowledge of optical microcomb and integrated photonis as well as strong grasp of RF technology and microwave oscillators