Grace College and Theological Seminary

(Ref. No.: IOTSC/ISNC/AAP/04/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 285 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The State Key Laboratory of Internet of Things for Smart City invites applications for the position of Associate/Assistant Professor, who will also be a joint faculty member in the Faculty of Science and Technology, in the following disciplines: IoT infrastructure and devices (sensors, embedded systems, etc.) Sensing technologies IoT security and privacy-enhancing technologies IoT communications and networking State Key Laboratory of Internet of Things for Smart City - SKL-IOTSC The State Key Laboratory of Internet of Things for Smart City is expected to promote smart city development in prospective of IoT, Big Data Technology and Engineering in Macao and inject a fresh impetus to the development of the Greater Bay Area by enhancing research and training in the field and providing technical support plans for improving economic performance, people’s quality of life, and social management. More details about the State Key Laboratory are available from https://skliotsc.um.edu.mo/. Faculty of Science and Technology - FST Faculty of Science and Technology aims to provide programmes for undergraduate and graduate education with quality reaching international standard. It strives to become a research active unit advancing the knowledge of engineering and science, and serves the community and industry as an agent of technological innovation and educational advancement. Currently, about 90 faculty members from diverse international backgrounds serve in this faculty. More details about the Faculty of Science and Technology are available from http://www.fst.um.edu.mo/. Qualifications A PhD degree in Computer Science, Electrical and Electronic Engineering or related disciplines; A distinguished record of internationally-recognized research and scholarship; Demonstrable competence in communication; and English is the working language, while knowledge in Chinese/Portuguese will be an advantage. The selected candidate is expected to assume duty as soon as possible. Remuneration A taxable annual remuneration starting from MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will commence upon receiving applications and continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/; Email: vacancy@um.edu.mo Tel: +853 8822 8577; Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**

Full time fixed term for 2 years at Cobbitty, Camden Campus Opportunity to conduct research applying computational biology and AI modelling to plant-pathogen interactions Base Salary $113,400 - $121,054 + 17% superannuation About the opportunity The School of Life and Environmental Sciences (SOLES) at the University of Sydney is seeking to appoint a Postdoctoral Fellow in Computational Biology and AI Modelling to be based at the Plant Breeding Institute on the University's Camden Campus. SOLES has an international reputation for education and research, with well-funded external research collaborations across industry. The University of Sydney has significant strengths in plant breeding, crop production, plant biology and genetics, and agricultural robotics. This role offers an exciting opportunity for a highly motivated computational biologist to join a multidisciplinary research team investigating plant-pathogen interactions through integrative computational modelling. You will develop and apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have access to large-scale biological datasets, high-performance and cloud-based computing resources, and work in close collaboration with experimental biologists and external computational partners. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes to generate mechanistic insight into host-pathogen biology. Your research interests will complement and/or enrich existing strengths in the Institute and School in plant breeding, molecular biology, genetics and pathology. You will contribute to current research programs, particularly in resistance gene and avirulence gene cloning, functional studies, and host-pathogen interactions, and articulate a clear vision for collaboration within SOLES, across the University of Sydney and beyond. Your key responsibilities will be to: develop and apply computational models to investigate protein-protein and protein-ligand interactions in plant-pathogen systems integrate diverse omics datasets to infer molecular interactions and regulatory processes design, implement and maintain reproducible, scalable computational pipelines for large biological datasets optimise workflows for high-performance computing (HPC) and cloud-based environments collaborate closely with experimental research teams to translate model outputs into testable biological hypotheses contribute to scientific documentation, including high-impact publications, research grant applications and reports present research findings at national and international scientific conferences. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoc Research Associate - Computational Biology who has: a PhD in bioinformatics, computational biology, systems biology, or a related discipline strong proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing reproducible workflows in HPC and/or containerised environments strong analytical capability, scientific ownership and a track record of high-quality research publications a clear vision for how your research complements and/or enriches the strengths of the School and Institute demonstrated experience in successful collaborative research projects (advantageous) excellent written, oral and interpersonal communication skills, with strong time management capability. Desirable experience familiarity with structure-informed or interaction-prediction modelling approaches experience integrating computational analyses with experimental or functional validation demonstrated experience in protein-centric analyses, including protein interaction networks, signalling pathway modelling, proteomics or protein target screening background or demonstrated interest in plant biology or plant-pathogen molecular interactions familiarity with molecular cloning techniques. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus. Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. 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 include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through 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. 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 Deepna Chand, Recruitment Operations by email to recruitment.sea@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 Monday 27 April 2026 11:59 PM

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland.  Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. Call for Proposals: Two Postdoctoral Positions in Quantum Technology The Finnish Ministry of Education and Culture has announced additional support for national doctoral education pilot in quantum technology (QDOC) aimed at postdoc recruitments. The focus is on supporting the training and supervision of the 90 doctoral students who are currently enrolled under QDOC across Finland. QDOC team invites applications for two postdoctoral positions that combines research with the development and delivery of a course or training module aimed at QDOC students nationally. The duration for each position is one year, with the possibility of extension for an additional year. While the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC host university, subject to agreement by Aalto University and the host university of the visit. Applicants should include a brief plan for potential visits in their application. We are open to research backgrounds in both academic and industrial environments. Your role and goals The postdoc must develop and deliver a course or training activity equivalent to 5 ECTS credits, targeted at QDOC students nationally, during the funding period. The course or activity focus may be technical (e.g. quantum science and technology, methods etc.) or general (e.g. scientific communication, supervision, entrepreneurship etc.). Co-supervision of QDOC students within the funding period is considered an advantage. We expect the candidates to have: Completed a PhD degree in a field complementary to the goals of QDOC. The candidate must show evidence of good written and oral communication skills in English. What we offer The positions are hosted at Aalto University under full-time employment agreement. The postdoc contracts will initially be made for 1 year. Employees could work remotely according to Aalto University’s remote work policy. Aalto University follows the salary system of Finnish universities. The salary ranges for a postdoc from 4138 € to 4549 € per month, depending on previous experience. The contract includes Aalto University occupational healthcare. Join us! The deadline for applications is 10.05.2026. To apply for the position, please submit your application including the attachments mentioned below as one single PDF document (max 2 pages) in English through our online recruitment system by clicking “Apply now!” button in our web page. Brief CV of applicant and research focus (max 1 page). Course or training activity concept with a short description of its contents and format (max 1 page). Role of applicant in co-supervision of QDOC students (if any). Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions For more information about the role, please contact QDOC Director Prof. Adam Foster adam.foster@aalto.fi and Finnish Quantum Flagship Manager Dr. Mahdi Moghaddam mahdi.moghaddam@aalto.fi. For additional information on the application process contact Minni Forss, HR Advisor minni.forss@aalto.fi. We will go through applications, and we may invite suitable candidates to interview already during the application period. We aim for a prompt evaluation process, with both positions expected to begin on 01.06.2026. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.