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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
markers on endothelial and epithelial models. Parallel analytics and surface/electrical characterization will contextualize any responses and confirm stable formulation performance. Outcomes will be clear
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-performance computing (HPC) systems for large-scale data processing, parallelized workflows, and computationally intensive analyses. Demonstrated experience applying phylogenetic and phylodynamic methods
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to candidates who have skills in any of the following areas: Genetics/GWAS/eQTL analysis Massive parallel reporter assays DNA synthesis technology Machine learning for genomics Single cell omics (e.g. perturb-seq
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world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D
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architecture to perform distributed simulations on heterogeneous clusters. Following this approach requires rigorous parallelization of code and extensive validation experiments. Ultimately, distributed
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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geomechanics, or ability to quickly acquire relevant domain knowledge. Proficiency in high-performance computing (HPC) for large-scale parallel simulations. Experience with advanced constitutive models and their
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parallel, a numerical model representative of the developed materials will be created. Work plan: The work plan foreseen for the research grant has been designed to support the experimental research
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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methods and transmission electron microscopy will take place in parallel with neuropathological and structural studies. The Dementia Laboratory has active collaborations with national and international