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foster a sense of purpose and confidence including: • 35-hour work week • flexible working model • up to 36 weeks paid parental leave • access to health and wellbeing services • tax
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responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence, advanced characterisation and measuring methods for high performance perovskite
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a
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, Psychology, or a related field. strong background in computational modelling and/or functional neuroimaging techniques. proficiency in programming languages commonly used in neuroscience research (e.g., Python
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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AI engineers to prepare high-quality datasets for machine learning models guide junior data team members and foster best practices in data engineering and reporting work in a fast-paced agile team
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the implementation and continuous improvement of the Legal Support Operating Model (LSOM), embedding systems and processes that promote innovation, automation and efficiency. Key Responsibilities act as the first
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and quantitative research methods familiarity with megaproject delivery models or complex infrastructure systems. Work Rights Visa sponsorship is available for this appointment. Pre-employment checks
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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dynamical models from data a productive and collegiate attitude to working in diverse interdisciplinary teams. Pre-employment checks Your employment is conditional upon the completion of all role required pre