Glasgow Caledonian University

Department: School of Business Vacancy ID: 042284 Closing Date: 22-Jun-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The International Research on Energy Systems Integration, Education & Environment for Sustainability and Innovation Center (IRESI), is a research centre housed in the School of Business. IRESI's research focuses on propelling sustainable energy systems into the future by helping individuals, organisations and institutions in the pursuit of a cleaner, greener, and more sustainable energy landscape. We are seeking a motivated, analytical, and detail-oriented Data Analytical Research Assistant to support a multidisciplinary research team working on the Research Ireland–funded RENEW project. The successful candidate will primarily contribute to activities related to data analysis, data management, and the development of the Smart Tariff Comparison Tool. The role will focus on supporting the collection, preparation, analysis, and interpretation of energy-related and consumer datasets to inform the development, testing, and refinement of the Smart Tariff Comparison Tool. Working closely with experienced researchers and technical staff, the successful candidate will contribute to analytical workflows, data processing activities, and evidence generation to support project objectives. This is an excellent opportunity for an early-career researcher or analyst to gain hands-on experience in applied data analytics, energy research, and digital tool development within an interdisciplinary research environment. Salary: Research Assistant Level I (2026): €33,792 – €34,621 p.a. pro-rata (2 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Monday 22nd of June 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Shape the future of Nursing and health education Help us become a global exemplar for in-place health transformation Lead genuine, system wide reform Permanente Full time role with excellent benefits  About the Opportunity We are seeking to appoint the Head of School, Nursing as a transformative academic leader who shapes the future of nursing education, research, and practice. With strategic vision and deep sector insight, you will set the direction for a dynamic school, inspiring excellence across teaching and learning, research, clinical education, and meaningful community and industry engagement. Leading the design and delivery of innovative, sustainable nursing programs that respond to evolving health and societal needs, you will accelerate research excellence with real‑world impact, and nurture a safe, inclusive, and people‑centred culture grounded in the University’s values. As a senior leader within UTAS Health, you will forge strong partnerships across the University and with health services, government, industry, and communities. Through collaboration and influence, the role brings the full strength of the University to advance health outcomes, transform lives, and position nursing at the forefront of change. About the School of Nursing As part of UTAS Health, the School of Nursing works in close collaboration with Tasmanian and national healthcare partners to improve the health outcomes and educate the next generation of nurses and health professionals across Australia that are patient-centred, team-focussed and system-aware. The School of Nursing enables the future workforce through innovative learning experiences using contemporary digital and face-to-face delivery across undergraduate (Hobart, Launceston, Burnie and Sydney) and postgraduate (Nationwide) programs. The School of Nursing is an exemplar of a dynamic, highly engaged work environment that is deeply connected to the University’s strategy, embracing interdisciplinary opportunities for teaching and research across the University, and responsive partnerships with the health sector. About the University The University of Tasmania is a mission-driven institution dedicated to making a difference for Lutruwita/Tasmania and a distinctive contribution from Tasmania to the world. As the sole university on the island, the University is deeply embedded in the social, economic, and environmental fabric of Tasmania, working in close partnership with communities, industry, and government to address key challenges in education, health, productivity, and climate action. The University takes pride in its place-based identity, leveraging Tasmania’s unique geography, culture, and resources to offer world-leading research and education. What’s Required We are looking for a strategic systems thinker that is people-centred and team oriented. Fundamentally, we are training the health workforce of the future and delivering on a research agenda that is focussed on what matters most for our communities – a successful leader will proritise our students and partnerships, drive a staff culture that values excellence and build connection to purpose, and model institutional leadership. In addition, you will bring to the role: Academic qualifications and/or experience commensurate with a senior academic appointment in a Nursing discipline. Leadership experience with a strong record of achievement in teaching, research, and engagement within a University or clinical education setting. Experience shaping and sustaining a high-performing inclusive organisational culture of large teams. Strong understanding of curriculum design, teaching quality assurance, and student experience enhancement. Experience in research leadership, including fostering collaboration, maintaining research quality and integrity, and securing partnerships. Sound financial and resource management capabilities, including budget development, forecasting, and efficient deployment of people and assets. Demonstrated experience in governance, compliance, risk management and regulatory frameworks. Proven ability to build and maintain strategic partnerships with industry, government, and community stakeholders. What’s on Offer? As we look toward 2050, we remains committed to fostering excellence, collaboration, and transformative education, preparing graduates to navigate the challenges of a rapidly changing world. While remaining true to our Tasmanian roots, this career defining role will see you significantly contribute to our dedication to making a difference for Tasmania and to the world. In return for your experience, you’ll have access an array of staff benefits and discounts including: 26 Weeks paid parental leave for primary care givers 17% Superannuation contribution Health and fitness membership options Accommodation and Car Hire discounts Health Insurance and Banking Novated Leasing Generous relocation support to Tasmania How to Apply? If this role is of interest, we look forward to hearing from you. Please provide your up-to-date resume and: A 1-2 page cover letter outlining your motivation for the role at the University of Tasmania Address the selection criteria by outlining how your skills and experience align with the role specific skills, knowledge and experience in the Position Description Applications close 11:55pm Tuesday 30th June 2026 For further information about this position, please contact: Graeme Zosky, Deputy Vice-Chancellor Health UTas.Health@utas.edu.au   Head of School, Nursing Position Description April 2026.pdf  Head of School Nursing Candidate Brochure April 2026.pdf To be eligible for this position, you are required to have Australian citizenship, permanent residence or a current valid visa that allows you to fulfill the requirements of this role. As part of our commitment to a safe and inclusive workplace, employment history and police background checks may be conducted as part of the selection process.

Role type: Full Time, Fixed Term for 2 yearsFaculty: Faculty of ScienceSchool: School of Mathematics and StatisticsSalary: Academic Level A.6 - $110,319 p.a. plus 17% superPioneer quantum-omics method development in a leading statistical biology lab / shape your independent research profile and publication record / collaborate across QUBIC, Melbourne Integrative Genomics and global interdisciplinary partners.Apply now to drive rigorous, high-impact statistical omics research and shape quantum-enabled analysis of biological systems.Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunityYou will lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum-biology interface. You will design reproducible software, publish internationally, and build collaborations across QUBIC, Melbourne Integrative Genomics and beyond. What you will deliver:Lead development, evaluation and benchmarking of statistical and quantum-inspired methods for high-dimensional omics and cell-based data.Develop and maintain reproducible research software, workflows and documentation using robust version control and good coding practices.Collaborate with QUBIC partners and interdisciplinary researchers to translate new methods into applied analyses and usable tools.Contribute to funding proposals, project reporting, seminars and conferences that disseminate findings and strengthen collaborations.Support supervision of students and junior researchers, and engage in School and QUBIC service and outreach activities.You may be a great fit if you:Hold a PhD in statistics, computational biology, quantum computing, or a closely related quantitative discipline.Demonstrate research strength in statistical methods development for high-dimensional omics, ideally including single-cell or cell-based data.Possess hands-on experience analysing large biological datasets, from preprocessing and quality control to interpretation of results.Use GitHub or similar platforms for version control, with an active profile showcasing ongoing code development.Show interest or experience in quantum-inspired or quantum computing methods relevant to data analysis and modelling.Thrive in multidisciplinary teams, managing multiple tasks and timelines while communicating clearly with diverse collaborators.For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:Build future financial security with 17% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company Health and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - "L Cao Lab, Melbourne Integrative Genomics (MIG)"You will join the L Cao Lab within Melbourne Integrative Genomics in the School of Mathematics and Statistics. This interdisciplinary centre applies advanced maths, statistics and computing to omics data, tackling frontier biological questions. You will work alongside 50+ researchers and QUBIC partners, benefiting from strong collaborations and world-class infrastructure. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials:Visit "apply with us" to learn more about the process, including tips and FAQs.This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.Please upload your resume and a cover letter outlining your interest and experience as part of the application process.Please upload your responses to the following Selection Criteria:PhD (or equivalent) in statistics, computational biology, quantum computing, or a closely related discipline.Demonstrated research capability in statistical methods development for high-dimensional omics data (ideally including cell analysis), evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions.Want to know more?For queries related to this specific position and for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').Apply today, and join a community that's shaping the future.Applications close: 10 July 2026 11:55 PM; Melbourne time zone.Position Description: JR-009383 Research Fellow Quantum Omics_PD.docx JR-009383 Research Fellow Quantum Omics_PD.pdf