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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated
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diversification, and demand control strategies are quantified. The ideal candidate will have a PhD in engineering, science, or economics, with strong quantitative and analytical skills, and a background in energy
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/events within cyberspace and cyber-physical systems, presenting both opportunities and challenges. Currently, these software architectures do not take advantage of emerging Geospatial-AI (Geo-AI
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, software virtualisation, Cloud-RAN, Network Functions Virtualisation (NFV), and Software Defined Networking (SDN) technologies (including OpenFlow and Netconf) to support the experimental investigation
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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, and metabolomics. The ideal candidate will have a PhD in Biology, Microbiology or Genetics with an interest in Fungal Biology and Antifungal resistance. Salary: Post Doctoral Researcher: € 45,847 p.a (1
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silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be
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with the Principal Investigator Professor Cormac Sreenan and the gVID project Technical Lead. A suitable candidate will have a PhD, 8 years of research/industrial experience and a keen interest in
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Richard O’Shea, Lecturer in Sustainability in Enterprise, School of Engineering and Architecture, Tel: + 353 (0) 21 4901971/085 2786568 Email: richard.oshea@ucc.ie or to Dr Archishman Bose, Eli Lilly
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(in vitro and/or in vivo). • Proficiency in relevant software for data analysis and structural visualization. • Experience with in-silico discovery of antimicrobial