Mansoura University

Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from September 2026, or as agreed. The Doctoral Researcher will be offered a full-time contract for the maximum duration of 3 years (possibly extendable to 3.5-4 years). There will be a trial period of six months at the beginning of employment.  Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. The successful deployment of statistical models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in AI systems, particularly for tasks such as diffusion-based image generation. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those previously introduced in the literature. These advancements hold significant potential for a wide range of applications, spanning scientific research and societal challenges at large. The primary research site is the Department of Computer Science at the University of Helsinki (UH), strong synergy also exists between researchers at the Department of Computer Science at Aalto University, supported by the flagship grant from the Research Council of Finland (RCF) for AI research, called the Finnish Center for Artificial Intelligence (FCAI). This project is further related to the European Laboratory for Learning and Intelligent Systems (ELLIS unit Helsinki and ELLIS Institute Finland). Both institutes aim to foster cutting-edge research and establish a globally recognized concentration of expertise in ML and Statistics. You will also have the chance to collaborate with researchers from University of Cambridge (UK), Technical University of Denmark, University of Warwick, Nanyang Technological University and Hamburg University of Technology. Please check our personal website (as hyperlinks in our names) for details and news. The Doctoral Researcher is expected to: advance the research project together with the project leader and conduct doctoral studies and research work leading to a completed PhD thesis within 4 years. Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria The doctoral researcher should have a Master's degree in Statistics, Mathematics or Computer Science (or a related field) with an emphasis on applied mathematics/statistics/machine-learning. Prior experience in the probabilistic machine-learning, neural-networks, statistical inference and data modelling is a bonus. Prior experience in some computer programming language is expected (Python, Julia, R, Matlab etc). Excellent communication skills in English, both verbal and written, are naturally expected. In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes Salary and benefits The starting salary of the Doctoral Researcher will be ca. 2800 euros/month, depending on the appointees’ qualifications and experience. The salary will develop in accordance with the progress of studies. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks Finland is a member of EU, has high quality free schooling (also in English), generous family benefits and healthcare, and has been ranked as the happiest country in the world for eight consecutive years. For more information about working at the University of Helsinki and living in Finland, please see https://www.helsinki.fi/en/about-us/careers. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our university How to apply Please submit your application, which includes the following documents in English: A motivation letter describing why you are interested in this position and how you are qualified (max. 1 page) A curriculum vitae including a list of publications (if any). One example of a written analytical text (e.g. Master’s thesis). If the text is not solo-authored, detail your contribution to producing the text. The names and contact information of two referees, who are willing to provide reference letters upon request (optional). External applicants, please submit your application through the University of Helsinki’s recruitment system via the Apply Now button. Internal applicants, applicants who have a helsinki.fi username and a valid employment/grant/visitor contract at the University of Helsinki are requested to submit their application via the Employee login button. We are eager to fill this position as soon as possible and therefore encourage early applications. However, the absolute deadline for submitting applications is July 15th, 2026 (at 23:59 UTC +2). More information? For questions project and position related questions, please contact  Academy Research Fellow (PI) Marcelo Hartmann, marcelo.hartmann@helsinki.fi For more information on the PI and publications, see https://www.helsinki.fi/en/researchgroups/multi-source-probabilistic-inference With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** fThe Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate master's Programme in Data Science, in which other departments also participate. 

Full time, fixed term until 31st December 2028, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES) Opportunity to make valuable contributions to research in Metabolic disease Base Salary, level A $105,314 - $116,679 p.a + 17% superannuation About the opportunity The School of Life and Environmental Sciences (SOLES) is currently seeking a Postdoctoral Researcher in Metabolic Disease and Cell Signalling to carry out independent research, keeping with the aims of the laboratory and the Charles Perkins Centre (CPC). The successful candidate will contribute to projects focused on understanding the molecular and cellular mechanisms underlying metabolic disease, with a particular emphasis on protein trafficking, signalling pathways, membrane transport, proteomics, and systems-level regulation of metabolism. The role will involve the integration of biochemical, molecular, cellular, and in vivo approaches to investigate disease mechanisms and identify novel therapeutic targets. Your key responsibilities will be to: participate in and drive laboratory research programs focused on metabolism and cell signalling carry out independent research aligned with the strategic aims of the laboratory and the CPC coordinate and manage multiple research projects to ensure timely completion of milestones and publications develop, optimise, and apply advanced methodologies in protein biochemistry, molecular biology, proteomics, and cell biology perform mechanistic studies in mammalian cell systems and mouse models design and implement CRISPR/Cas9-based genetic manipulation approaches in cells and animal models conduct biochemical and enzymatic assays to investigate protein function, signalling pathways, and metabolic regulation undertake proteomic and mass spectrometry-based analyses of proteins and signalling networks contribute to screening approaches, including functional and biochemical screening strategies supervise honours, PhD, and postgraduate students and provide mentorship in experimental design and data analysis foster collaborations within the laboratory, CPC, and broader national and international research community present research findings at national and international scientific meetings and publish in high-impact peer-reviewed journal contribute to grant applications and help secure national and international competitive funding disseminate technical expertise and train other laboratory members in specialised methodologies. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. In addition, we are seeking a highly motivated Postdoctoral Researcher with some of the following skills: a PhD (or near completion) in biochemistry, molecular biology, cell biology, metabolism, or related discipline strong expertise in protein biochemistry and molecular mechanisms of cell signalling experience in mammalian cell culture and molecular cloning techniques expertise in CRISPR/Cas9-mediated genome engineering experience with proteomics and mass spectrometry-based approaches experience performing enzyme assays and mechanistic biochemical studies expertise in molecular biology techniques including plasmid design, mutagenesis, and gene expression analysis experience working with mouse models and small animal experimentation would be an advantage. experience in functional screening approaches and/or assay development expertise in fluorescence microscopy and imaging approaches strong analytical and problem-solving skills, including experience analysing complex biological datasets the ability and willingness to work collaboratively within multidisciplinary research teamsexcellent written and verbal communication skills a strong publication track record relative to career stage experience with quantitative proteomics and/or phosphoproteomics would be an advantage. 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 which 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. Candidates should indicate which level they wish to apply for; however, the selection panel reserves the right to make offers based on its appraisal of the candidate's skills, experience, and knowledge. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Simon Drew, Recruitment Operations, Human Resources at 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 Sunday 19 July 2026 11:59 PM

(Ref. No.: FMD/DEAN/06/2026) 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. 267 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 University of Macau sincerely invites applications for the position of the Dean of Faculty of Medicine. Faculty of Medicine The Faculty of Medicine will be established through the integration and expansion of the existing Faculty of Health Sciences. The new faculty aims to develop into a world-class medical school that integrates top-tier medical talent cultivation, advanced medical services, and innovative medical research. In addition to the existing Department of Biomedical Sciences, Department of Pharmaceutical Sciences (to be renamed as the Department of Pharmacy and Pharmaceutical Sciences), and Department of Public Health and Medicinal Administration, it will establish the Department of Clinical Medicine, the Department of Medicinal Food and Nutrition Sciences, and the Department of Dentistry. It will also offer a range of professional programmes, including a joint clinical medicine programme with the University of Lisbon in Portugal. The Faculty of Medicine is expected to enrol approximately 4,000 students. Dean of Faculty of Medicine The successful candidate should have considerable experience in faculty management, academic strategic planning, curriculum design, laboratory setup and research development, and must be highly committed to the pursuit of excellence in teaching, research and service. In particular, the candidates should have the following credentials: An earned doctoral degree in Medicine or related disciplines; Strong background in medical education and commitment to high quality clinical research and practice; A distinguished record of internationally-recognized research and scholarship; Evidence of outstanding academic leadership, demonstrated commitment to leading research and a record of effective teaching in higher education settings; Ability to foster interdisciplinary collaboration, drive technological innovation, and establish relationship with diverse stakeholders; Excellent management and communication skills; Proficiency in English is required as it is the working language, while knowledge in Chinese/Portuguese will be an advantage. Remuneration Remuneration 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 More details about the job vacancy can be accessed at https://career.admo.um.edu.mo/. The University has appointed Perrett Laver to provide consultancy service for the recruitment of this position. A cover letter, detailed curriculum vitae in English and other related materials should be sent to the following address, with quotation of reference no. FMD/DEAN/06/2026. 1901 Wilson House, 19-27 Wyndham Street, Central, Hong Kong Email: Kenneth.chan@perrettlaver.com Tel: +852 3702 6498 Interested individuals are encouraged to submit their materials as early as possible to ensure timely consideration. Review of applications and nominations 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 submission. For enquiries, please call Mr. Kenneth Chan on +852 3702 6498. ***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**