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Field
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Research Infrastructure? No Offer Description Job description You will explore hardware/algorithm co-design for NeuroAI, simultaneously taking into account scalability inspired by modern AI workloads, as
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participatory environment are key elements in our growth. The 60 doctoral students within the department are a diverse group from different nationalities, backgrounds and fields. We offer very good employment
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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, algorithmic aspects, such as Parallelization, Fisher Information and Maximum Likelihood Estimation, with optical theory. Department of Imaging Physics Research in the department of Imaging Physics is aimed
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting