424 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at University of Sheffield
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abilities and experience the breadth of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using
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evolution of rhizobia in the lab and in plant mesocosms alongside omics technologies such as genomics and transcriptomics and analysis of pre-existing datasets. You will learn techniques such as sterile
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The effects of micro-machining operations on structural integrity of biomaterials used in dental applications School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded
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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
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. Visit http://www.sheffield.ac.uk/sgs to learn more. Funding Notes First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form
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the Light Microscopy Facility (https://www.sheffield.ac.uk/lmf). Wild-type and mutant lines will be crossed to transgenic lines of interest for live fluorescence imaging. There will also be the opportunity
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people in earthquake conditions to military operations in unknown and changeable environment. Such sensor networks have extended their territory to industrial applications, such as energy management
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Details The Topic Executive functions (EF)—the goal-directed thinking skills that underpin learning—develop rapidly in early childhood. Yet, the toddler years remain the "dark ages" of cognitive development
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective