The University of Texas at San Antonio

Classification: ANU Officer 6 (Technical) Salary package: $98,387 - $102,887 per annum (pro rata if part time) plus 17% superannuation Term: Full-time (Part-time hours considered), Fixed Term (up to 2 years) Position Description and Selection Criteria:  Clinical Data Coordinator_ANUO6_PD_PEWER.pdf The Position The Clinical Hub for Interventional Research (CHOIR) is located within the John Curtin School of Medical Research (JCSMR) and is the is the central point for early phase clinical research within the College of Science and Medicine at the University and aims to support the specialised functions involved in conducting high quality clinical trials to the required international standards (ICH-GCP). The Clinical Data Coordinator will support the delivery of high-quality data management activities across clinical trials coordinated by the University. The role supports clinical trial data systems, regulatory compliance, and quality assurance, working under the supervision of senior staff. The role will have responsibility for the management of processes for collection and management of clinical research data for CHOIR projects, including deployment, development, and maintenance of study databases. The role will be responsible for supporting the development and ongoing management of clinical research data management solutions at the University. The role offers potential opportunities to be a part of future clinical research using big data, machine learning, and LLMs; make contributions to omics of data in clinical research; and work with technology innovations and applications in the research landscape.  The Person Our ideal candidate will be a motivated individual who has a strong interest in health research, and who is keen to play a key role in delivering high quality clinical trials. If you have a passion for health research and working in a collaborative team environment we would welcome an application from you. The School The Australian National University (ANU) has an international reputation for research and education relevant to the health and well-being of the population of Australia, as well as that of the developing world. This is achieved through discovery research, applied research in health service settings, research-led teaching in health and medical sciences, and the translation of research findings into practice and policy. The John Curtin School of Medical Research (JCSMR) was established in 1948 as a founding school of the Australian National University. We are renowned for pioneering medical breakthroughs. With a legacy of three Nobel Laureates and a league of exceptional researchers, our focus is collaborative, innovative research tackling diseases that encompass cancer, infectious diseases and neurological conditions using our expertise in neuroscience, genomics, immunology, and cancer discovery science. The College The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities.  To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact Sarah Davidson, CHOIR Program Manager. Email: sarah.davidson@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria will not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Date: Sunday, 12 April 2026, 11:55pm (AEST)

Job Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are seeking a highly motivated and talented Research Fellow to join an exciting applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted offloading strategies for IoT networks. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and development of edge-assisted offloading strategy and associated software APIs. Validation of edge-assisted offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player. Strong theoretical background in wireless communications or edge computing will be advantageous. Proven track record in research and development of edge intelligence algorithms will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous

The Faculty of Medicine at the University of Helsinki invites applications for the position of part-time (35 %) PROFESSOR for a fixed term of five years. The field of the position is Clinical Data Science with Finnish as the language of instruction. The professorship in Clinical Data Science is connected to the position of Techonology Manager at HUS Helsinki University Hospital. Separate applications must be submitted for the professorship and the position of Techonology Manager . DutiesThe Professor is responsible for undergraduate, postgraduate, and continuing education in Clinical Data Science. In addition, the Professor participates in practical small group and lecture-based teaching in their area of expertise, as appropriate, across all educational programs in the Faculty. The position includes carrying out and supervising scientific research, following developments in research in the relevant field and participating in societal interaction as well as national and international cooperation in the field. In addition, the professor’s duties include other tasks assigned by the Faculty Common selection criteria of the Faculty of Medicine An appointee to a professorship shall hold a doctoral degree and have top-level scholarly qualifications, experience in the supervision of scientific research, as well as the ability to provide top-level research-based teaching and to supervise theses and dissertations. In addition, the appointee shall present documentation of international cooperation in the field of research that they represents. Holders of professorships shall also have the skills necessary for serving as an academic leader. The degree requirement must be met by the end of the application deadline. When considering the applicant’s qualifications, attention shall be given to scientific publications and other research results of scientific value, teaching experience and pedagogical training, the ability to produce teaching material, other teaching merits as well as the applicant’s participation in doctoral education. Account shall also be taken of the applicant’s activity in the scientific community, success in obtaining external research funding, international research experience and international elected positions as well as leadership and interaction skills. To ensure that the applicant’s ability to supervise theses and dissertations meets the requirements of the Faculty of Medicine, they must have completed the supervision of at least one doctoral dissertation. The requirement for a supervised dissertation must be met by the end of the application period. Trial period of six months will be applied Requirements for language skills Holders of teaching and research positions at Finnish universities must be proficient in the language of teaching, either Finnish or Swedish. Further information https://www.finlex.fi/en/laki/kaannokset/2009/en20090770_20111034.pdf Salary  The salary will be based on levels 8-10 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal work performance. Application documents  Applications must have the following enclosures as a one single pdf file (in English):  CV; Scientific activities: free-form, one-page report of the applicant’s scientific activities; Statement of intent: a statement of no more than one page on how the applicant intends to carry out the duties of the position and develop the teaching and research in the field; List of received funding sources (€) List of publications List of selected 20 publications Documentation of teaching qualifications Instructions are available on the Faculty’s website at https://www.helsinki.fi/en/faculty-medicine/about-us/work-us How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button. Internal applicants (i.e., current employees of the University of Helsinki) submit their applications by using the Employee Login button. Please apply by 27 April 2026. A separate application must be submitted for the position of Techonology Manager at HUS Helsinki University Hospital in accordance with the HUS instructions.  Should HUS terminate the appointment process, or the proposals of the appointment committees of the Faculty of Medicine and HUS differ from each other, the appointment process for the professorship at the University of Helsinki will be terminated. If the appointee to the professorship resigns from the position of Techonology Manager at HUS, their employment contract with the University of Helsinki will also be terminated. Further information Further information about the position may be obtained from Director of Medicum, Professor Eero Mervaala, eero.mervaala@helsinki.fi, tel. 050 4482 201 and Professor Risto Renkonen, risto.renkonen@helsinki.fi, tel. 029 412 5110. Enquiries regarding the recruitment process: HR Specialist Tania Sawkins, tania.sawkins@helsinki.fi tel. 02 941 26619.