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clustering and CMB lensing power- and bispectra to constrain primordial non-Gaussianity from a joint analysis of SO and LSST. You will work in the research group led by Andrina Nicola and the wider cosmology
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and pre-process clinical datasets (handling missing values, outliers, ICD-10 and CPT code grouping) ⢠Implement advanced data imputation methods (e.g., Gaussian Copula)  Machine Learning and Modeling
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Gaussian Process Regression Generalizes Linear PDE Solvers“, Apr. 2024, Preprint, https://arxiv.org/abs/2212.12474
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, Neuroscience, Physics or a related field. Candidates should have strong skills in machine learning and statistics and experience with Gaussian process regression and/or probabilistic regression. Experience with
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analysis methods using Gaussian processes would be an asset Hold a PhD in astrophysics. Where to apply Website https://www.aplitrak.com/?adid=VUdBLjA3ODA0Ljk5MDhAdWdhLmFwbGl0cmFrLmNvbQ Requirements
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Viklund and will involve the study of one or more of the following areas: Coulomb gases and related areas, 2D random conformal geometry (SLE theory, lattice models, gaussian fields, etc), conformal field
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quantum computing, including GKP state generation and nonlinear gates. EPIQUE (Horizon Europe): Cluster state generation on photonic integrated chips and its integration into a measurement-based Gaussian
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efficient simulators for continuous and discrete variable systems with noise based on Gaussian/stabilizer decompositions quantum error mitigation and correction for continuous variable systems evaluating and
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about the division can be found at https://uol.de/en/ai4health The position is part of the DFG-funded cluster of excellence "Hearing4All.connects". Among its research goals is uncovering
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research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc