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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
software tools in order to develop biometric algorithms for recognition, spoof detection, fairness in AI, template security, and explainability, and related research areas, as well as paper and report
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of the research theme. Some exposure to commercialisation market studies or IP processes. Strong skills in MATLAB Simulink and other modelling tools. Programming skills including software for programming DSP, PSoC
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and timely progress notes, procedure notes, and/or admission and transfer orders. Order, perform, and interpret screening and diagnostic procedures and tests, and appropriately communicates and
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of the academic degree and/or diploma(s) required in the competition, preferably indicating the final average and the grades obtained per curricular unit. Candidates holding foreign qualifications must prove their
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Biochemistry Demonstrated expertise in developing 3D protein structure models, protein-ligand docking and bioinformatics Demonstrated experience using protein visualisation software (e.g., PyMol) Demonstrated
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research fellow will work as part of an EPSRC funded project aimed at the design, synthesis, characterisation and testing of polymers as antivirals. This post is based within the Jones Lab within the new
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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, Polyhydroxyalkanoate (PHA) production from Australian sugarcane, within the new Solving Plastic Waste CRC. This role will be heavily focused on the laboratory testing of halophilic microbes to enhance the rate of PHA
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fields to join our team at the University of Southampton. You should have experience in developing interactive tools/applications for HCI research; comfort with electronics sufficient to test tangible
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate