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Field
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that requires accurate sub-grid models (e.g., Particle-in-Cell or Vlasov codes) coupled to a hydrodynamic simulation. In general, charged-particle transport is a non-trivial task, not only because of the large
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
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such as spatial biology, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating human patients. Responsibilities Designs and conducts
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spatial biology, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating patients. Responsibilities Designs and conducts research on cancer
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different heterologous hosts to improve our current production methods of spider silk proteins, primarily focusing on prokaryotic systems, but potentially extending to yeasts and cell lines. The candidate is
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related to single-cell spatial omics technologies and systems biology for disease diagnosis and molecular mechanism studies. Research directions include exploring DNA sequencing, bioanalytical chemistry
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
, Canada [map ] Subject Areas: Mathematics, Fisheries Management, Cell Migration Appl Deadline: 2025/05/30 11:59PM * (posted 2025/04/10, listed until 2025/05/30) Position Description: Apply Position
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related to single-cell spatial omics technologies and systems biology for disease diagnosis and molecular mechanism studies. Research directions include exploring DNA sequencing, bioanalytical chemistry
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. The postdoctoral scholar will have primary responsibility for the collection, quality control, and analysis of single-cell RNAseq (and other ‘omics) data from a diverse panel of diploid and polyploid wheat and
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms