Charmo University

(Ref. No.: ICMS/BS/AAP/03/2026) 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 Institute of Chinese Medical Sciences (ICMS) invites applications for the position of Associate/Assistant Professor in the following disciplines: Bioinformatics Artificial Intelligence for Drug Discovery Big Data Analysis Established in 2002, ICMS is an academic centre of excellence in Chinese medicine as well as biomedical and pharmaceutical sciences in the region. It hosts the State Key Laboratory of Quality Research in Chinese Medicine, as well as Macau Centre for R&D in Chinese Medicine, UM Centre for Pharmaceutical Regulatory Sciences, UM Macau Centre for Testing of Chinese Medicine and Department of Pharmaceutical Sciences. Over the past decade, the Institute has established an international reputation in conducting high-quality research with special emphasis on Chinese medicine quality research, drug discovery and development, immunopharmacology, systems pharmacology, molecular pharmaceutics and regulatory sciences. It has secured outstanding funding support from both national and regional governments and built long-term strategic collaborations with top academic organizations around the world. More details about the Institute are available at https://sklqrcm.um.edu.mo/. Qualifications (1) PhD/MD degree in Pharmacy, Medicine, Biomedicine or related disciplines, postdoctoral research experience from globally renowned universities; (2) A distinguished track record of internationally-recognized research publications; (3) both wet lab and dry lab proficiency, or a strong commitment to integrated experimental–computational research and hands on experience working in a biological laboratory, ideally involving immunological, inflammatory, or disease model systems, educational or research background in immunology, inflammation, or related fields. Priority consideration will be given to those with sustained high-quality research/teaching experiences in data science, pharmaceutical science, Chinese medicinal science, or bioinformatics. For Bioinformatics, applicant should have ability to analyze high‑dimensional biological data (e.g., transcriptomics, immunoprofiling, single‑cell data), preferably applied to immunology, inflammation, cancer immunotherapy, infectious diseases, mucosal immunity, or autoimmune/allergic disorders; and experience linking computational findings with experimental validation in the laboratory. For Artificial Intelligence for Drug Discovery, applicant should possess expertise in AI/ML methods applied to drug target identification, molecular design, or mechanism‑of‑action discovery, preferably with applications in immunomodulatory drugs, cancer immunotherapeutics, anti‑inflammatory agents, or anti‑infective compounds; and capacity to validate computational predictions through biological experiments. For Big Data Analysis, applicant should have experience in integrating omics data, pharmacological databases, knowledge frameworks for traditional or natural products, preferably with interest in immune‑regulating compounds or inflammatory disease therapeutics, and ability to test computational predictions experimentally in a biological lab setting. The selected candidate is expected to assume duty in Spring 2027. Remuneration A taxable annual remuneration starting from MOP855,400 (approximately USD105,600) 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 immediately 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 8509; 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**

Description The Center for Astrophysics and Space Science (CASS) at NYUAD is looking to appoint new independent fellows working in one (or more) of the following center's research fields Extrasolar Planets Galactic Astrophysics (including compact objects) Extragalactic Astrophysics and Cosmology Astroparticle Physics (Dark Matter searches, gamma-ray spectroscopy, gravitational waves) The center currently consists of eight faculty members and more than 25 researchers and PhD students. The Center possesses the unique possibility to investigate fundamental questions in astrophysics, astroparticle physics, and planetary physics from several points of view, with the expertise of its members ranging from collecting and analyzing state-of-the-art data on the nature of the visible and invisible matter in the Universe, to detailed theoretical and numerical studies from planets to galaxies, and linking them together cohesively. We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank Telescope, the Very Long Baseline Array, and Las Cumbres Observatory, and is a participant in SDSS-V. Applicants should have a PhD in astronomy, astrophysics, physics, or a closely related field. The appointment will be for an initial period of two years with a likely extension to a total of three years. CASS fellows will have dedicated funds for traveling, computing, publications, etc. The preferred starting date is Fall of 2026. Applicants need to submit a cover letter, curriculum vitae, publication list, and a brief (ideally 2-3 pages) statement of research interests, transcript and three letters of recommendation. Applicants are strongly encouraged to outline in their research statement how they plan to help create connections between the different research areas of the CASS. Applications received before November 30, 2025, will receive full consideration, positions will stay open until filled. If you have any questions, please e-mail Prof. Andrea V. Macciò (Center director) maccio@nyu.edu The terms of employment include a very competitive salary, housing allowance, medical insurance, educational subsidies for children, and other benefits. Please note that the UAE does not levy income tax. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.

About the project You will join an interdisciplinary project delivered through a collaboration between the Institute of Sound and Vibration Research, the School of Biological Sciences, and Mechanical Engineering at the University of Southampton. The project will deliver an integrated understanding of plant acoustic emission generation and reception, including transmission pathways through plant tissues and (where relevant) soil. The modelling work will be tightly coupled to experimental campaigns and will use image-derived structures (including XCT images where available) to develop mechanistic, validated mathematical multiscale models. We are recruiting a Postdoctoral Research Associate with a modelling background to lead development of the project’s multiphysics modelling framework. Key accountabilities / duties You will: Develop models describing acoustic emission generation and reception/sensitivity in plants, aligned with experimental observations. Build image-informed model geometries and structures (e.g., using XCT datasets available within the team) and develop appropriate multiscale representations. Implement and run multiphysics simulations (e.g., vibroacoustics/wave propagation in complex media; soil–plant coupling where relevant), including parameter studies and sensitivity analyses. Work iteratively with experimental colleagues to guide measurement design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open research outputs. Support and lead preparation of publications, presentations and final project deliverables. Candidate requirements Essential PhD (or near completion) or equivalent qualifications and experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation, computational mechanics). Evidence of scientific programming and good software/reproducibility practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication skills and ability to work across disciplinary boundaries. Desirable Experience with image-based modelling workflows (CT/XCT segmentation-to-mesh pipelines). Experience with inverse problems, uncertainty quantification, or modelling of biological tissues/porous media. Informal enquiries: Michal Kalkowski m.kalkowski@soton.ac.uk