The National University of Ostroh Academy

Adjunct Faculty - MusicID: 2018Department: MusicType: Part-time FacultyPost Date: 10/06/2025Position Available Date: N/ADescriptionThis is a part-time, Adjunct Faculty position. The University of Mary Hardin-Baylor seeks qualified Christian adjunct faculty in our College of Visual and Performing Arts for Spring 2026.THIS POSTING IS NOT A GUARANTEE OF AN OPEN POSITION. Applications for part-time adjunct faculty positions are accepted on a continuous basis and reviewed when openings become available. Future teaching assignments are on a semester-by-semester basis, which may include fall, spring and summer. Please submit a resume or CV, cover letter of interest, and copies of transcripts with your online application. Please clearly indicate in your cover letter any specific days/times you may be available for teaching (i.e. morning classes, afternoon classes, evening classes, no preference).You will be contacted if an adjunct position for which you are qualified becomes available.REQUIREMENTS: Must be an active, committed Christian who will support the University's mission and who will be an active participant in their local church. A master's degree with at least 18 hours in music or a closely related field is required. Teaching experience is preferred. Must reside in Texas. Must agree to the University's Employee Statement of Understanding. Salary and Benefits: Competitive salary. Benefits include free access to the university's Center for Effectiveness in Learning and Teaching (CELT) professional development support, adjunct resources room at CELT, campus library, campus exercise facility and many campus events; employee discount for meals and campus store purchases; free parking; and technology assistance.To Apply: Please click the "Apply Now" link and complete an application for employment. Please submit the following documents along with your application: Resume or CV, A cover letter of interest.Please clearly indicate in your cover letter specific days/times you may be available for teaching. A one-page description of your own Christian beliefs and commitments. Copies of transcripts Future teaching assignments are on a semester-by-semester basis, which may include fall, spring and summer.For information regarding employment at the University of Mary Hardin-Baylor, please visit our Careers Site.To apply, visit https://umhb.applicantstack.com/x/detail/a2zc18o7pkwtCopyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-9167e2ec9b5ae34ebe33a6b632caea2a

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

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 02.03.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5249 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Are you intrigued by challenges at the forefront of research? Are you passionate about science and the way of living as a scientist with experimental focus? Do you want to contribute to pushing the boundaries of scientific knowledge? Are you a team player who loves to discuss science and to develop new cutting edge technologies in the laboratory? Then you should consider becoming a member of the Tailored Hybrid Structures team. About the research group: The Tailored Hybrid Structures (THS) group, led by Prof. Paola Ayala, is internationally recognized for pioneering research in low-dimensional carbon materials from a spectroscopy perspective. Our team has established expertise in the synthesis and spectroscopic characterization of filled and substitutionally modified carbon heteronanotubes and related nanomaterials. We are at an exciting juncture in our research trajectory, expanding beyond our traditional strengths to explore high-impact applications in biological systems and environmental science. This evolution creates exceptional opportunities for innovative PhD researchers to help shape new research directions while building on our established foundation of excellence. As part of our collaborative and intellectually stimulating environment, you'll join a team that values creativity, diverse perspectives, and individual expertise. We believe that your unique background and fresh ideas will not only contribute to our collective success but will also be instrumental in driving the group's expanding research portfolio. What makes our group special: Strong international reputation and extensive collaborative network Access to advanced spectroscopy and nanofabrication facilities Culture of intellectual freedom and creative problem-solving Expanding research horizons with real-world impact in biology and environmental applications Supportive mentorship focused on your professional development Your creativity, experience, and capabilities aren't just welcome here - they're essential to our mission of pushing the boundaries of nanomaterials research. Your personal sphere of influence: As university assistant (pre-doc) you will join Prof. Paola Ayala's research group. Within this 4-year position, you will be immersed in cutting-edge materials science research. This position offers you a unique platform to shape your academic career while contributing to groundbreaking discoveries in nanomaterials. The group has a traditionally strong focus on hybrid carbon nanostructured materials, but you will also explore transition metal-dichalcogenide based systems, which are among the most exciting materials currently studied. As a PhD researcher, you will drive innovation in spectroscopy-based characterization of nanostructured materials, transforming your existing expertise into creative scientific solutions. Your work will span the full spectrum of materials research, from synthesis to advanced characterization, giving you comprehensive hands-on experience with state-of-the-art instrumentation including Raman and Fluorescence Spectroscopy, Scanning Probe Microscopy, Scanning Electron Microscopy, and Photoemission systems. Beyond your research, you'll develop as a well-rounded academic professional through teaching opportunities and administrative experience, while building your network through potential involvement in organizing scientific conferences and symposia. This position is designed to cultivate your growth as an independent researcher while providing the support and resources needed to excel in your doctoral journey. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Your future tasks: You will actively participate in research, teaching & administration. This means: Your research will be focused on the nanospectroscopic analysis of 1D and 2D materials made from carbon or transition metal dichalcogenides. You will conduct independent experimental research related to synthesis and spectroscopy, with the freedom to apply your creativity and previous knowledge. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time, supported by dedicated mentorship. We expect a large degree of independence paired with a high level of team spirit. You will continuously stay informed about the state of the art in your field. You will contribute to teaching (lab courses, exercise classes), both in teams and independently, within the provisions of the collective bargaining agreement. You will engage with the broader scientific community as well as contribute to outreach through publications, conference presentations, collaborative events and public activities. You will help the group with minor administrative tasks, contributing to the success of the group for research, teaching and outreach. This is part of your personality: Master's degree or Diploma in physics, physical chemistry, materials science or a related field. Basic experience in academic writing. We welcome hands-on experience with Raman Spectroscopy. Experience with Scanning Electron Microscopy and/or Focused Ion Beam is highly desirable (not compulsory). Excellent command of written and spoken English. Basic use of German would be useful but not compulsory. You are a team player. You have didactic competences. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world. Internal further training & coaching: The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3,776.10 (on a full-time basis, 14x p.a.) increases if we can credit professional experience. A PhD project: A project related to cutting-edge research in the fields of materials science and physical properties of new materials. Work-life balance: Our employees enjoy flexible, family-friendly working hours. A city with an outstanding life quality: Vienna has been chosen several times as the most livable city world-wide, with a rich culture, numerous recreational opportunities and beautiful nature surroundings. Good public transport connections: Your workplace in the center of Vienna is easily accessible by public transport. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please apply through this system by clicking "apply now". Submit the following documents: Your academic curriculum vitae. A summary of your previous academic and research achievements. Tell us what you’re proud of. A short statement on your research interests for the future. Tell us what you dream about, scientifically. Your Bachelor’s and Master‘s degree: an excellent academic degree is a good entrance statement for this position. Letter of motivation summarizing your research interests (1 page max.). Degree certificates. At least one reference letter (from your supervisors). Note, that while a Master’s degree is the usual legal prerequisite for a PhD position at the University of Vienna, we can consider Bachelors (preferentially with Honor’s) in exceptional cases, too. If you have any questions, please contact: Paola Ayala paola.ayala@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 02/20/2026 (MM-DD-YYYY) Prae Doc