Myrat Garryyev State Medical University of Turkmenistan

Base Salary starting from $89,755 + 17% superannuation. Full time, fixed term 2.5 years. Exciting opportunity for Research Assistant to join the Centre for Heart Failure and Diseases of the Aorta - a flagship partnership between the University of Sydney, The Baird Institute and the Royal Prince Alfred Hospital. Laboratory is located within the award-winning Charles Perkins Centre and is part of the internationally-recognised School of Medical Sciences, Faculty of Medicine and Health, University of Sydney. About the opportunity We are seeking a Research Assistant to join our cardiovascular regeneration team and contribute to the development of therapies that aim to reverse heart failure and damaged arteries. The role involves supporting data collection and analysis, managing research documentation, and working collaboratively with researchers and stakeholders to ensure efficient delivery of research outcomes. Supervisory team Dr Robert Hume (Cardiovascular Regeneration, Lead of Translational Research, Lecturer) Professor Sean Lal (Clinical Academic Cardiologist, Professor of Medicine and Medical Sciences) Prof Paul Bannon (Cardiothoracic Surgeon and Professor of Cardiothoracic Surgery) Prof John O'Sullivan (Clinical Academic Cardiologist, Professor of Cardiometabolic Medicine) Your key responsibilities will be to: contribute to the design and development of research protocols, ensuring timely execution of research activities follow guidance on research regulations, policies and procedures, ensuring projects align with standards assist with data collection and analysis, ensuring exceptional data quality and accuracy collaborate with researchers and affiliated partners to share findings and progress manage documentation processes for research publications and maintain comprehensive research records facilitate communication with a broad range of stakeholders, addressing concerns and strengthening collaboration support health and safety initiatives, coordinate safety activities and identify areas for improvement undertake other duties appropriate within the classification level as required. About you tertiary qualifications in a relevant field or an equivalent combination of relevant training and experience experience conducting scientific literature searches and managing research data experience working in a research-intensive environment and in the higher education sector experience managing, reporting and disseminating research data experience calculating and preparing reagents for wet laboratory experiments skills in data analysis, organisation and time management, attention to detail, research software, computer literacy, communication and an emphasis on strong teamwork motivated individual, passionate about developing treatments to help patients suffering from life-threatening diseases maintains quality, standards and excellence in any research activities and output contributes to a positive workplace culture in which diversity of thought, contribution, collaboration, excellence and achieving outcomes are valued and enabled interacts with students, staff and other members of the University community in a professional, collegial and respectful manner experience with mammalian cell culture, flow cytometry and molecular biology techniques. Desirable (but non-essential) skills background in cardiovascular development/disease, biomedical engineering or pharmacology cell culture experience with induced pluripotent stem cells (iPSCs) experience with immunofluorescence and microscopy. Pre-employment checks Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Thursday 21 May 2026 11:59 PM

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of contradiction scores.  Job Responsibilities Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met. Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings). Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora. Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures. Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels. Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques. Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis. Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines. Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings. Job Requirements Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn. Prior experience or coursework in natural language processing, machine learning, or information retrieval. Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices. Experience with financial data or financial text analysis will be advantageous. Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous. Good communication skills and ability to work both independently and collaboratively.

Ref.: 536158 Work type: Full-time Department: Department of Ophthalmology, School of Clinical Medicine (22300) Categories: Professoriate Staff Applications are invited for appointments as Tenure-Track Clinical Professor/ Clinical Associate Professor/ Clinical Assistant Professor (several posts) in the Department of Ophthalmology, School of Clinical Medicine (Ref.: 536158), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second four-year fixed-term contract. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong, with a specialist qualification in ophthalmology recognized by the Hong Kong Academy of Medicine or its equivalent. Candidates should have proven research capacity and an outstanding track record of active research, including high-impact output, external competitive grants, and awards, along with a strong commitment to clinical excellence and training, as well as experience in undergraduate and postgraduate teaching. They must display strong clinical acumen and skills in the relevant specialty, with demonstrated experience teaching medical students, interns, and trainees, while proven ability to initiate and contribute to basic, clinical, or translational research is essential. Fluency in Cantonese, Putonghua, and English is preferred. Preference is given to those with a track record in research governance, university and hospital administration, while higher academic qualifications (e.g., MD, MS, PhD) are advantageous. Those with less qualifications and experience may be considered for appointment as Clinical Associate Professor or Clinical Assistant Professor. There will be opportunities for academic growth, career development and mentorship, with protected time for educational and clinical research activities, depending on the appointees’ interests and accomplishments. The appointees are expected to conduct research and teaching in ophthalmology, develop and provide regular clinical services and patient care at the HKU Eye Centre and the University’s affiliate teaching hospitals; and contribute to administrative duties in the Department, Hospitals and Faculty. Information about the Department can be obtained at https://www.ophthalmology.hku.hk/ A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application at the University’s career site (https://jobs.hku.hk) for the above posts. Applicants should apply online, upload (1) an up-to-date CV and (2) a teaching and research statement, and provide contact information of 3 referees. Review of applications will start from July 12, 2026 and continue until August 13, 2026, or until the posts are filled, whichever is earlier.