Tashkent Pharmaceutical Institute

Location Docklands Campus Salary £35,453 to £38,827 per annum inclusive of London Weighting Post Type Full Time Post Type Fixed Term Contract Length 8 months Closing Date Wednesday 15 April 2026 Interview Date Wednesday 29 April 2026 Reference 0810-26-S Join the University of East London – Shaping Futures for 125 Years University of East London (UEL) is a vibrant, diverse, and forward-thinking institution dedicated to transforming lives through exceptional education and career-focused opportunities. As a careers-first university, we have been proudly preparing students for the jobs of the future for 125 years. UEL has always been at the forefront of innovation, and our ambitious Vision 2028 strategy underscores our commitment to reshaping education for the benefit of all. We empower students from all backgrounds with the skills and opportunities to excel in today’s dynamic world. Our dedication to excellence is reflected in our achievements. We are proud to be recognised as the University of the Year for Teaching Quality in the Times and Sunday Times Good University Guide 2025. Additionally, UEL ranks: 1st in London for Student Experience (National Student Survey 2024) 3rd in London for Teaching Satisfaction (Guardian University Guide 2025) At UEL, we don’t just teach; we inspire, innovate, and empower. Join us as we continue to shape the future. About the Job As a Student Records Officer, you will join our busy and dynamic Student Records team to manage UEL student data, including students’ enrolment records, module registration and tuition fees, and to support academic colleagues in our Schools with the management of their student cohorts. You will also play an integral role in supporting students’ enrolment during UEL’s large student intakes, and in supporting the assessment and progression of students, throughout the academic year. What You will Need to thrive: Experience of administration, preferably in a higher education setting, and of records management systems (including but not limited to MS Office), with the ability to recognise and interpret trends or patterns in data Experience of exploring and seeking ways to improve and adjust levels and quality of service  Excellent interpersonal skills, with the ability to liaise with colleagues inside and outside of an organisation  Strong attention to detail, with a methodical approach to the work in-hand Ability to work under pressure and prioritise effectively across the role Benefits Package At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience (DOE), and a range of excellent benefits. You can explore our full benefits package here: https://uel.ac.uk/benefits-professional-services-positions Building an Inclusive Future Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we’re committed to closing the "diversity pay gap". We are proud of the progress we’ve made and honest that there’s more to do. We’re determined to keep moving forward so everyone at UEL can thrive. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today! Please note that we are unable to offer visa sponsorship for this position. Applicants must therefore already have the right to work in the UK at the time of application. Please note that this advert may close earlier than the deadline if we receive many applications. We encourage you to submit your application as soon as possible. Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

Ref.: 534799 Work type: Full-time Department: Department of Diagnostic Radiology, School of Clinical Medicine (20500) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Assistant Professor in the Department of Diagnostic Radiology, School of Clinical Medicine (Ref.:534799), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract. Applicants should possess a Ph.D. degree and associated post-doctoral training in Medical Imaging Artificial Intelligence, Computer Science, or Biomedical Engineering. They should demonstrate (i) evidence of international recognition and scholarship; (ii) the ability to work across disciplines towards new research initiatives; (iii) a strong track record of high-quality research as indicated by publications (including multiple publications in high-impact journals of impact factor >10) and external grants; and (iv) a strong commitment to engage students at undergraduate and postgraduate level. The appointee will provide leadership in imaging research with particular focus on medical imaging AI research, and assist with managing AI-related infrastructures within the Department. He/She is expected to participate in applications for external competitive research grants for the Department, and will contribute to teach undergraduate and postgraduate programs, supervise student projects and theses, and take up administrative duties as required. 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, totaling up to 15% of basic salary. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from July 2, 2026 and continue until August 2, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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