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for energy systems Digital twins and energy analytics Energy communities and electricity markets Energy system modelling and optimisation Green hydrogen technologies Key Responsibilities Conduct high-quality
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of corporate responsibility and performance and their empirical application in modeling the relationships between constructs based on data from a sample of companies. The expected output will be a model
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 23 hours ago
the cellular and molecular mechanisms that confer this unique privileged status upon the digit tip. The Research Associate will use single cell spatial transcriptomics, genetic mouse models, and cutting-edge
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Clurman lab (https://research.fredhutch.org/clurman/en.html works at the intersection of two
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, cerebral metabolism, and cognitive functioning in models of hypertension and preeclampsia are ongoing with support from a Javits Neuroscience Investigator Award from the National Institute of Neurological
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to characterize this environment under different environmental conditions, and modeling tools are developed to reproduce the complex mechanisms associated with this environment. In recent years, numerous studies
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and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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No. 1 scholarship grant for technological training activities at INFN Structure of Torino for the following research topic: “Device modelling and design of a cryogenic CMOS 28nm Process Design Kit” Where
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2