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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 13 days ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and publications in bioinformatics analysis
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Policy (€43,425 - €103,582 per annum) https://www.tcd.ie/hr/assets/pdf/monthly-academic.pdf Hours of Work: Hours of work for academic staff are those as prescribed under Public Service Agreements
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of the work carried out; Collaborate with the Analysis and PDE team. The postdoctoral researcher (M/F) will be hosted at the Laboratoire Jacques-Louis Lions (UMR 7598) of Sorbonne Université. The host team
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and inductive coding and analysis. Knowledge of focus group methodology Ability to use Mac-based office and data analysis software, and the ability to solve Mac hardware and software problems. Working
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what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category
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information about the department visit: www.slu.se/aquatic-sciences Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment
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Analysis of Metallic Alloys R26-10 Functional Inorganic Nanomaterials R26-11 Optical Nanomaterials R26-12 Measurement Informatics on Synchrotron Research Environment Support up to 10 million yen depending
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The University System of Georgia (USG) is comprised of 26 higher education institutions as well as the University System Office (USO). Within the USO, our administrative operations are primarily
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experience with organoid culture, analysis of aneuploidy, computational skills in analysis of scRNAseq and scATACseq datasets, and/or CRISPR genetic screens. The successful candidate will work with single cell