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experience in computational biology, with a focus on integration of large data sets/multiomics to answer key questions and generate novel hypotheses Strong proficiency in relevant programming languages such as
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Posted: May 29, 2025 Tier 2 Canada Research Chair Faculty Position in Supercomputing and High-Performance Computing Department of Electrical and Computer Engineering Queen’s University at Kingston
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U.S. urban park), museums, AAA baseball team, semi-pro soccer, Broadway series, a classic film festival, and symphony. Top 5 Safest Large U.S. Cities, AdvisorSmith, 2021. All-America City (innovation
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Associate Professor or DTU Tenure Track Assistant Professor (junior group leader) in Fermentation...
to implement standardized experimental protocols, harmonized data formats, and transparent documentation practices—laying the foundation for reproducible and collaborative research in biofertilizer innovation
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-of-the-art multiomics/spatial biology and/or neuro-engineering approaches to probe and manipulate brain-body circuits or local neuroimmune compartments. They will join a large group of neuroscientists
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focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current
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/synopsis preparation, data analysis and interpretation, result reporting, recommendation of action) to yield high-value PK/PD insights to inform critical decisions Provide Clinical Pharmacology guidance
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Nature Careers | The Connacht Hotel Formerly Carlton Hotel Galway, Connaught | Ireland | 3 months ago
. Furthermore, Ireland is host to a large and vibrant biopharmaceutical industry. Graduate recruitment to industry is strong and collaborative industry-academia research is encouraged. The University is committed
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industry. To succeed in meeting these responsibilities, Helmholtz concentrates its work in six research fields: Energy, Earth and Environment, Health, Information, Matter, as well as Aeronautics, Space and
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], which states that random neural networks can be pruned to approximate a large class of functions without changing the initial weights. We are also interested in Neural Combinatorial Optimization, where we