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record, appropriate to their career stage. Candidates should have experience in modelling and simulation of wireless Time Sensitive Networks, especially using 5G radio technology, based on recent IEEE and
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-engineering/school-of-natural-sciences/disciplines/zoology/research/ Salary: € 63,624 to € 101,498 p.a. This appointment will be made on the Lecturer scale in line with current Government pay policy and in
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performing students in the College of Science, Engineering and Food Science. All programmes incorporate a significant final year capstone undergraduate research project in which students are free to explore
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, Biotechnology, Chemistry, Genetics/Genomics, Medicinal Chemistry, MedTech, Microbiology, and Plant and Agribioscience. We also offer postgraduate taught programmes in Medical Technology Regulatory Affairs and
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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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developmental neuropsychiatry, neural engineering and biomaterials, and digital health. The role includes mentorship, funding for an MD student, and a phased introduction to teaching. A five-year plan will be
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– Modelling the Future Noise Environment – Trinity College Dublin (School of Engineering) You will build national-scale models that predict road, rail, air and emerging sources (UAVs, heat pumps, offshore wind
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use virtual laboratories as a teaching tool for the experimental sciences. The initiative will also involve working with both education technology providers, industry stakeholders and student partners
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, optimise protein extraction technology, assess feed quality, economic and environmental viability, and public acceptance of duckweed as a native, protein-rich feedstock. We seek to appoint a Research
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leading innovative teaching and research programs that advance knowledge in food science, human nutrition, and their intersections with health and technology. They will also have a demonstrable capacity to