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how they meet the following essential criteria: A PhD qualification. Extensive competence and experience in machine learning and data analytics, including modelling of medical equipment and industrial
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developments in digital technologies to materials processing in order to improve understanding, modelling and control of the manufacturing process, thus increasing the competitiveness of Irish industry. I-Form
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cascade processes in continuous flow reactors. You will work as part of a team comprising of the PI, 2 PhD students as well as an industrial partner (Almac Sciences). This is a research focused role, where
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stakeholders such as occupants, building professionals, industry partners and academics (Desirable). Strong mathematical skills, particularly in relation to datasets and/or the determination of relationships
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demonstrate the appropriate mix of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria: Essentials A PhD or equivalent
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fall into the general categories of Life Science or Industry-associated with activity in the domains of Biodesign, Bioengineering, Environmental Science, Health/Ageing/Disease, and Precision Health
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are currently developing low complexity deep neural network (DNN) techniques for deployment in IoT-enabled edge sensors for biomedical, industrial applications. Current efforts are focused on achieving
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management, regulatory, and technical skills needed to prevent and respond to existing and emerging cybersecurity threats, helping to safeguard European industries from cyber-attack. The DIGITAL4Business
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developments in industry, a novel configuration of plasma source has been conceived, and partially demonstrated, which is enabling for select fields of application. This post will research new developments
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2003 with funding from Science Foundation Ireland and in conjunction with key industry partners. It represents a seamless collaboration between UCC, Teagasc, Moorepark and MTU. It is widely recognised