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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted for experimental evaluation. Work duties The main duties involved in a
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), PET (e.g., targeting synaptic plasticity), Behavioral and cognitive assessments, and Longitudinal and large-scale datasets to identify signatures of maintained brain function in ageing. You will
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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting inverse design in integrated photonics. This research is part of the Metapix
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of urogenital, ocular, and respiratory infections. The purpose of this project is to identify the molecular targets and modes of action, as well as in vivo efficacy and selectivity of selected promising compounds
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be molecularly tailored to meet the requirements of target applications in order to phase out plastics from fossil raw materials. The experimental work includes chemical synthesis and molecular