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Field
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Disease Intervention (I-Health ) and the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE ) is pleased to announce an opening for a faculty position at the Associate Professor level
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hierarchical Bayesian models to cognitive processes Supervisor: Dr Martin Lages Project aims: New variants of hierarchical Bayesian models of cognitive processes can be investigated using simulated, existing and
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/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with
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approaches; network design and analysis; and other related topics in optimization, modeling, and decision sciences. 2. Statistics: Candidates interested in this position must have solid foundations in
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, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
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-class computational resources and datasets. A flexible work environment with hybrid remote and onsite work options. Professional development opportunities, including mentoring, training, and networking
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new era in the exploration of the universe. The addition of the Virgo antenna into the network led in 2017 to the detection of a neutron star binary merger that could be followed in electromagnetic
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risk from future pharmaceutical and medical device innovations. You will collaborate with a world-class network that includes the MHRA, NICE, the FDA, and leading industrial partners. Manchester’s
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insights that inform biodiversity management. The project includes: · Apply of deep learning models to annotate bird and bat species from sound recordings. · Develop a Bayesian statistical
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imputation, nonparametric methods, Bayesian framework, and predictive model development and validation. • Implements bioinformatic pipelines and performs data analysis to support omics studies, including