ISCTE-University Institute of Lisbon

Institution: Qatar University College: College of Dental Medicine Location: Doha, Qatar Position Type: Full-Time / 3-Year Contract Position Title: Lecturer/ Teaching Assistant in Orthodontics Position Start Date: August 2026 Position Overview Qatar University, College of Dental Medicine, invites applications for a full-time faculty position at the rank of Lecturer/ Teaching Assistant in Orthodontics. The successful candidate will join a dynamic and interdisciplinary team committed to excellence in education, clinical practice, and scientific research. We are seeking an individual with outstanding communication and interpersonal skills, capable of engaging effectively with students, faculty, staff, and patients. The ideal candidate will demonstrate a strong commitment to advancing the field of Orthodontics through innovative, evidence-based clinical practice; high-quality teaching; impactful research; and dedicated service to both the academic and professional communities. The selected candidate will also contribute to Qatar University’s mission of achieving distinction in higher education. Key Responsibilities 1. Curriculum development, Teaching and Educational Activities Develop and deliver the undergraduate didactic, practical/clinical, and research components of the orthodontic curriculum, ensuring alignment with national and international standards for advanced education in orthodontics, as well as institutional policies.  Design and coordinate courses, including learning outcomes, syllabi, competencies, and assessment tools, in alignment with Qatar University guidelines and academic requirements Deliver high-quality teaching in orthodontics across pre-clinical, clinical, and didactic courses. Supervise and mentor undergraduate students, including participation in case-based learning, competency assessments, OSCEs and research projects. Contribute to curriculum development and the continuous enhancement of academic programs through effective course coordination, assessment design, and participation in accreditation-related activities. Participate in academic advising and conduct formative and summative evaluations, including remediation and progression decisions in accordance with program policies. Contribute to accreditation-related activities and participate in the implementation of continuous quality improvement strategies. 2. Clinical Responsibilities Provide clinical supervision and ensure adherence to best evidence-based practice standards compassionately and professionally. Contribute to fostering an environment that promotes both high-quality patient care and excellent student learning. 3. Research & Scholarship Conduct high-quality research in orthodontics (clinical, translational, or basic science) and publish in high-impact and peer-reviewed journals. Supervise undergraduate student research projects and contribute to collaborative, interdisciplinary research initiatives. 4. Service and Leadership Engage in College and University service, including committees, student advising, professional development activities and community outreach as needed. Support accreditation processes, quality assurance activities, and strategic initiatives. Qualifications A BDS/DDS/DMD (or equivalent) from a recognised/accredited university. Completion of a structured clinical specialisation in orthodontics that fulfils Qatar DHP requirements for specialist registration. https://dhp.moph.gov.qa//en/Documents/Guidelines%20for%20Dentists.pdf A PhD or equivalent qualification in Orthodontics from a recognised/accredited institution for lecturer rank A track record of teaching, research, and clinical practice appropriate to the academic rank. Candidates must be licensed or eligible for specialist orthodontist licensure in Qatar in accordance with MOPH/DHP requirements, including minimum postgraduate training duration and experience. https://dhp.moph.gov.qa//en/Documents/Guidelines%20for%20Dentists.pdf

Department: Music Vacancy ID: 040484 Closing Date: 29-Mar-2026 The Music Department at Maynooth University invites applications for a 22-month position as a Postdoctoral Researcher to work with Professor Karen Desmond’s research team on the project “Polyphonic Singing and Communities of Music Writing in Medieval Britain and Ireland, c. 1150 to c. 1350” (BROKENSONG) (funded by a 5-year ERC Consolidator Grant). See the project website: https://ahi.maynoothuniversity.ie/brokensong/. Do you want to work in Ireland on an exciting European Research Council funded project analysing a lost musical corpus recovered from faded and damaged manuscript fragments? For this postdoctoral position, we seek a candidate to conduct analysis of the music corpus recovered, transcribed, and edited within the scope of this project. The candidate’s background can be either in in traditional music analysis (with a PhD in musicology, music analysis or music theory) and/or in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place of work is Maynooth University, Ireland: remote work from another country cannot be facilitated. The BROKENSONG project examines singing in medieval Britain and Ireland during a transformative period of western music history, c. 1150-1350. The project team is digitally encoding approximately 700 music compositions copied on over 120 fragmentary music manuscripts. The project reconstructs lost vibrant musical cultures and communities. Salary: Senior Postdoctoral Researcher 2026: €54,851 p.a. (point 1, with increment) Postdoctoral Researcher 2026: €46,805 p.a. (point 1) - €53,391 (point 6, with increment) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 29th of March 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

SBU/Department: School of Health, Medicine and Life Science FTE: 1.0 FTE (37 hours per week) Duration of Contract: Fixed Term (2 years) Salary: UH7 £38,784 pa to £46,049 pa by annual increments on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days, including the closure of our office between Christmas and New Year Location: College Lane Campus This fellowship offers a unique opportunity to apply cutting-edge AI techniques to real-world challenges in health, medicine, and the life sciences. This is an ideal role for a technically strong, forward-thinking researcher who wants to drive meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research. Main duties and responsibilities You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical analytics, biomechanics, and sports science, while delivering high-impact demonstrations that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you will help embed AI into interdisciplinary projects, shape the School’s AI capability, and contribute to grant writing, publications, and international collaborations. You will also play a key role in building AI capacity through training workshops, student supervision, and active participation in academic life. Skills and experience required You will have practical experience in research teams, scholarly publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have a methodical, detail-oriented approach. You will have excellent communication, interpersonal, and presentation skills, combined with adaptability, initiative, and commitment to continuous learning. Public engagement experience is desirable. Qualifications required We’re looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience. Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the person specification. Internal applicants – please ensure you apply via your employee self-service portal. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate. Contact Details/Informal Enquiries: Rich Callaghan (Associate Dean for Research) r.callaghan@herts.ac.uk Closing Date: 26 March 2026 Interview Date: TBC Reference Number: REQ000550 Our vision is to transform lives: UH is committed to Equality, Diversity, and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise that there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits, including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships, free Active Staff sessions, personal and professional development, and family-friendly policies. #GoHerts