Federal College of Agriculture - Akure

Scope of Position: Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre. Roles and Responsibilities: Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation Conduct original research on the effectiveness of AI applications in medical education Publish findings in peer-reviewed journals and present at national and international conferences Secure internal and external funding to support AI-driven educational innovation projects Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School Contribute to the development and delivery of AI literacy curriculum for medical students Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre Appropriate duties as assigned by reporting officer Requirements Education: Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential   Technical Expertise: Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application Strong programming skills (Python, R, or similar languages) used in AI and data science development Experience developing, training, and deploying AI/ML models using modern frameworks and tools.   Knowledge of relevant AI domains such as Natural Language Processing, Computer Vision, and/or multimodal learning Familiarity with learning analytics, data management and educational/healthcare data environments Understanding of learning management systems or digital learning platforms is advantageous Experience: Minimum 3 years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains Experience with learning analytics and educational data mining Experience with human-centred design and user experience research Demonstrable commitment to research and scholarship. For example, research productivity, preferably in a higher education institute, healthcare organization or medical education setting; grant funded research as Principal Investigator or lead; peer reviewed research publications; visiting appointments; advisory roles; consultancy; other evidence of scholarly activities; knowledge creation, synthesis, application and dissemination Competencies: Knowledge of ethical considerations in AI, including bias, fairness, and privacy Exceptional time management, organizational skills and the ability to work on multiple projects simultaneously and meet project deadlines Accessible, calm, flexible, and mature individual with superlative interpersonal skills that permit him/her to work independently as well as in a team environment, to establish credibility with staff at all levels and of different disciplines and backgrounds, and to be persuasive in both one-to-one and group settings Commitment to maintain confidentiality and exercise discretion in sharing of information. Excellent written and verbal communication and presentation skills with ability to explain technical concepts to non-technical audiences Ability to translate Artificial Intelligence / Machine Learning techniques and Data Analytics approaches to medical education and practice Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education All applications including a letter of interest and a curriculum vitae should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello (f.bello@duke-nus.edu.sg). We regret that only shortlisted candidates will be notified

Salary: £38,784 - £43,482 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Academic, Food, Higher Education Job reference: REQ000494 Attachments: attachmentLecturer in Food Systems Management (HE) - JDPS - Feb 26.pdf University College Birmingham is looking to recruit a Lecturer in Food Systems Management to join the growing and exciting College of Food, to be part of the teaching team delivering high quality, inspiring, and inclusive programmes across their portfolio of courses. The ideal candidate will hold a degree, preferably at postgraduate level, with industry experience across the Food, Hospitality, and Culinary sectors. The candidate will have sustained teaching experience within the Higher Education (HE) sector. The candidate will be required to teach practical and theory subjects in areas such as Sustainable Food Systems and Safety, Cross Cultural Global Management, Managing Across Cultures, and Food Science and also Postgraduate Research Study Skills, as well as providing outstanding tutor and pastoral support to diverse and ambitious student cohorts. If you want to work in The College of Food, be part of a proactive team, guide the next generation of Hospitality and Food professionals, and contribute to the growth and success of the iconic and world-renowned institution, then apply now! Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

Teaching Professor- Steers Center for Global Real AssetsGeorgetown University: Main Campus: McDonough School of Business: FinanceLocation: Main CampusOpen Date: Feb 09, 2026Deadline: Mar 20, 2026 at 11:59 PM Eastern TimeDescriptionWe invite applications for a Teaching Professor position in the Steers Center for Global Real Assets. This is a teaching-focused faculty role responsible for delivering high-quality instruction while supporting Heads of Infrastructure and Real Estate in experiential learning, student outcomes, and program development.The position carries a 15-credit-hour teaching load in courses related to Real Estate and/or Infrastructure across the MS-GRA, MBA Certificate, and Undergraduate Minor programs.Deliver instruction that integrates classroom learning with real-world application, industry standards, and applied problem-solving.Collaborate with the Heads of Infrastructure and Real Estate to support continuous curriculum improvement including course sequencing and integration, alignment with evolving industry practices and feedback from experiential learning outcomesSupport assigned experiential learning programs by coaching and mentoring students through experiential projects, internships, and applied labs.Provide discipline-specific guidance and quality control to ensure academic rigor and professional relevance of student work products.Coordinate with the Head of Infrastructure and Head of Real Estate to ensure alignment between classroom instruction and experiential project expectations.Support the Associate Director of Student Experience to evaluate and improve the Customer Journey Map, with emphasis on academic advising touchpoints, classroom-to-career integration, and student engagement and retention drivers.Collaborate with the Director and Heads of Infrastructure and Real Estate to define competency standards and assessment methods (e.g., capstone examination or equivalent) to be used to validate students' mastery of core real assets knowledge.Support academic and career advising, guidance on industry expectations and professional pathways.We seek candidates to begin teaching in the Fall 2026 semester.JOB QUALIFICATIONSCandidates must hold a graduate degree (a Ph.D. preferred) in Business, Real Estate, Infrastructure, or a closely related discipline. We seek candidates with a demonstrated record of excellence in teaching and curriculum development across the real assets spectrum, as well as meaningful professional experience in real estate, infrastructure, or adjacent investment and development fields.The successful candidate will be highly student-centric with a demonstrable track record of helping young people advance their careers.ABOUT GEORGETOWN UNIVERSITY's MCDONOUGH SCHOOL OF BUSINESSGeorgetown University's McDonough School of Business offers unparalleled access to the world's business, policy, and thought leaders. The school, which attracts faculty and students from around the world, is committed to building global business knowledge and inspiring ethical leaders to serve the common good. Known for its emphasis at the intersection of business and global affairs and its values-based approach to business as part of Georgetown's rich Catholic, Jesuit tradition, the school also is focused on how business can be a force for change by addressing fields of the future, such as healthcare, sustainability, and AI and the future of work. The school's undergraduate and graduate degree programs provide solid grounding in all the core management disciplines, with an emphasis on the global, ethical, and political environment of business. The McDonough School of Business has an ongoing commitment to being a community in diversity as a fundamental aspect of the Georgetown community.APPLICATION PROCEDUREPlease submit a cover letter, CV, recent teaching evaluations, relevant syllabi, and the names and contact information of two references to Interfolio. You may submit questions about the position to msbdeputydean@georgetown.edu.Applications are due March 20, 2025.The projected salary or hourly pay range for this position is $150,000-$230,000. Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors. QualificationsApplication InstructionsFor more information and to apply, visit https://apply.interfolio.com/181388GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.Copyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-81902e16629b1f4e92fcdb7dbe748190