Andijan State Technical Institute

Based in the School of Nursing and Midwifery at the Adelaide City Campus Several casual opportunities available At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters The Technical Assistant (Casual) provides operational and technical support to ensure the effective day-to-day functioning of simulation teaching and learning environments within the School of Nursing and Midwifery. Operating under general supervision and established procedures, the role contributes to the preparation, maintenance and pack-down of simulation facilities, equipment and learning resources. The position supports the delivery of high-quality teaching activities through the application of technical skills, attention to detail and a strong service orientation. Visit the AU website to learn more about the School of Nursing and Midwifery.  Core responsibilities Operational Support for Teaching Activities Simulation Resource Preparation Equipment and Technology Support Stores and Inventory Control Team Contribution and Service Delivery Compliant with Health and Safety guidelines Experience Demonstrated ability to work effectively within a structured, service-oriented team environment Proven capacity to complete operational tasks accurately and within required timeframes Demonstrated technical aptitude and confidence operating equipment and associated technologies Sound problem-solving skills within established procedures Proficiency in Microsoft Office applications Eligibility requirements Completion of: A relevant trades certificate or Certificate III; or Year 12 or Certificate II with relevant work experience; or An equivalent combination of relevant experience and/or education/training Effective written and verbal communication skills Desirable qualities Knowledge of clinical equipment and healthcare consumables Experience supporting simulation-based education or similar technical environments Experience in roles requiring manual dexterity and technical precision Special requirements Availability to work flexible hours, including weekends Capacity to undertake manual handling and physically active duties as required Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  Submit your application by 11:30pm Wednesday 18 March 2026  For further information about this opportunity, please contact Hellen McIver via email Dean.SNM@adelaide.edu.au Please note – By registering on the Casual/Sessional Staff Register, it does not guarantee that employment will be offered If you already hold a casual contract with Adelaide University, please complete the application form to be considered for future opportunities. Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

The Vietnamese-German University (VGU) is seeking up to two highly qualified full-time lecturers in Deep Learning and Generative AI. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is an advantage. The successful candidate(s) will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate(s) will teach undergraduate courses in the Computer Science (CSE) program and possibly a sibling program dedicated to Artificial Intelligence (AI), as well as graduate courses in the Computer Science (MCS) program. The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on two to four modules from the following areas: Data Structures & Algorithms for Machine Learning Mathematics for Machine Learning Machine Learning Foundation Machine Learning Techniques Computer Vision Deep Machine Learning Natural Language Processing Artificial Intelligence Generative AI Compulsory elective modules Computing Theory The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate(s) is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of deep learning, generative AI (including generative models and neural network architectures), and data augmentation (e.g., audio-signal processing, adversarial training, computer vision). The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Artificial Intelligence, Computer Science, Information Systems or a closely related field, preferably from a well-known international university. Those in the final stages of their doctoral studies may be considered, provided they demonstrate exceptional promise. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on data augmentation & engineering, advanced deep learning, reinforced learning, multimodal learning, federated learning or other areas closely related to it Proven expertise in techniques for noise detection, MLOps, agentic workflows, data pruning, and retrieval-augmented generation Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research Experience in industry is an advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research. VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research. VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Deep Learning and Generative AI_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director at rschorr@fb2.fra-uas.de and/or Program Academic Coordinator at son.ll@vgu.edu.vn About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.

Role type: Full Time; Fixed-Term for 12 months Faculty: Faculty of Science Department/ School: Melbourne Veterinary School Salary: Level A: $87,266 - $118,416 p.a. plus 17% superDevelop objective measures of positive welfare in dogs across behaviour, neurophysiology and collaborate with international working dog partners to shape applied welfare frameworks.Apply now to join Happy Dog Science group and develop validated, practical welfare assessment tools for working dogs.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 opportunity You will join the Happy Dog Science group within the Animal Welfare Science Centre at the Melbourne Veterinary School, to develop and validate scientific methods that measure positive welfare states in dogs using behavioural, physiological and advanced statistical approaches. You will collaborate with international working dog partners, apply methods in real world settings, and gain experience in publishing, stakeholder engagement and building practical welfare assessment frameworks. What you will deliver:Lead Applied Research: Develop and validate multi method indicators of positive welfare in dogs, conduct experiments and produce high quality publications.Design and Implement Case Studies: Apply methods across working dog contexts and contribute to rigorous welfare assessment frameworks for practical use.Analyse Complex Data: Perform advanced statistical modelling and neurophysiological/behavioural data analysis to test and refine indicators.Collaborate and Translate: Work with international research partners, industry and NGOs to co design tools and communicate findings to stakeholders.Train and Support: Co supervise and mentor students and junior staff, contribute to research proposals, and participate in School service and professional development.You may be a great fit if:You hold, or are near completion of, a PhD in animal welfare science, animal behaviour, veterinary science, comparative psychology or a closely related discipline.You are experienced working with dogs in applied contexts (working dog programs, shelters, clinical or field settings).You possess strong skills in behavioural observation and neurophysiological measurement techniques.You are proficient in advanced statistical methods for behavioural and physiological data analysis.You are an effective communicator with a track record of publishing and collaborating with external partners.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 CompanyHealth and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - Melbourne Veterinary School The Melbourne Veterinary School sits within the Faculty of Science at the University of Melbourne. As Australia's oldest veterinary school, it has a long-established reputation for excellence in research, education and clinical practice. The school's research expertise spans animal health and welfare, parasitology, virology, and bioinformatics, and it is home to several research centres and initiatives including the Animal Welfare Science Centre and the Asia Pacific Centre for Animal Health.Science at Melbourne is a global leader across discovery and applied scientific research and education. Science begins with curiosity, and we are dedicated to understanding the universe from the level of sub-atomic particles to the solar system. We aim to be leaders who positively impact the community locally and globally, addressing major societal issues from climate change to disease. Our discoveries help build an understanding of the world around us. 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 Selection Criteria, found in the Position Description.Want to know more?For queries related to this specific position, please refer to the contact details in the Position Description.For questions related to our recruitment process email Anna 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: 4th April 2026 at 11:55 PM; Melbourne time zone. Position Description:JR-010637 Research Fellow in Animal Welfare Science (Postdoctoral)_PD.docxJR-010637 Research Fellow in Animal Welfare Science (Postdoctoral)_PD.pdf