Badr University in Cairo (BUC)

Southampton Clinical Trials Unit Location: Hybrid – There is a requirement to work in the office at Southampton at least 60% of contracted hours. Salary: Level 4 Full Time - Fixed Term for 24 months (part time may be considered at 0.8 fte) The Southampton Clinical Trials Unit (CTU), based at Southampton General Hospital, manages a growing portfolio of multi-centre clinical trials that will directly influence routine clinical practice. Due to new grant awards we have a vacancy for a Trial Manager to join the existing team to develop and manage one or more trials. This is an exciting opportunity for someone with previous clinical trials experience to join a CTU which has full registration status from the UK Clinical Research Collaboration (UKCRC).  The successful applicant will have significant experience of clinical trials in the NHS or the commercial health research sector. They will also have excellent organisation and communication skills, a good understanding and knowledge of GCP and clinical trial regulations. The employing organisation is the University of Southampton which offers a competitive salary, pension scheme and other benefits. The post is offered on a two year fixed term contract in the first instance with the possibility of an extension. This is advertised as a full time position, though part time may be considered (minimum 0.8 FTE). The CTU is part of a strong research environment in Southampton which includes the Cancer Research UK Clinical Centre, Experimental Cancer Medicine Centre, Wellcome Trust Clinical Research Facility and strong NHS R&D Management. For an informal discussion about this post please contact Kelly Cozens kc8@southampton.ac.uk  The Faculty of Medicine holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities and gender balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information including key benefits designed to help maintain and support employees' well-being and work-life balance, please see our working with us website pages.

Full-time, Continuing position Salary teacher level T3.1 to T5 + 17% Superannuation Based at the Melbourne CBD campuses however, but may be required to work and/or be based at other campuses of the University Great benefits such as 17% Super, 720 teaching hours per year, 4 weeks leave + 2 weeks VE Leave, Strong Industry Connections, Value-Led and Inclusive Environment, generous annual, personal and parental leave, Employee Assistance Program, Medical Hub on Campus, Novated Car Leasing, 25% discount on some short courses, personal software discounts, among others About You You are a passionate and industry-experienced educator with a strong understanding of the contemporary business environment and its practical application within vocational education. You hold a Certificate IV in Training and Assessment (TAE) and bring valuable industry knowledge in information systems and logistics. With experience across business operations, commerce, and technology-driven environments, you are able to connect theory with real-world practice, engaging students through relevant and industry-informed learning experiences. Your background in Interdisciplinary business concepts, business information systems and logistics/supply chain management enables you to contribute effectively to applied business education while supporting students to develop practical, workplace-ready skills. You demonstrate excellent communication and interpersonal skills, a collaborative approach to teaching, and a commitment to student success and inclusive learning practices. You are adaptable, organised, and committed to maintaining high educational standards in a dynamic vocational education environment. To be successful in this position, you'll have: Demonstrated skills and experience in higher education teaching and assessment design aligned with VE pedagogical frameworks. Competency-based assessment. Ability in ensuring current and contemporary vocational competence which meets and/or exceeds the education level being delivered and assessed. Experience in relevant industry, and substantial discipline knowledge as it relates to this position. Capacity to diagnose learning problems in students, propose and implement effective solutions. Demonstrated skills in the use of relevant information and communication technologies. Qualifications A Bachelor's Degree or above as minimum Certificate 4 Training & Assessment (enrolled or finished). Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter addressing the Key selection criteria by clicking on the 'Apply' link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact Diana via email at diana.ruiz@rmit.edu.au. Position Description - VE Teacher, Applied Business & Commerce If you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings #LI-Hybrid

About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About IWRI: The International Water Research Institute (IWRI) provides research, education, and innovation in the fields of water and climate. In order to face the next challenges. IWRI seeks to rethink and adapt research development, innovation, and training to new paradigms. It is an institute that outlines forward-thinking pathways to address water issues in a systemic manner in Africa. IWRI's vision is to Lead and develop integrated research and processes for Water & Climate concerns in Africa. We act as an African water hub through strategic cooperation and partnerships. We share comprehensive and diverse expertise to provide scientific information by focusing on four pillars: Integrated water resources management, Climate change and adaptation, Hydroinformatics, and Water technologies. Position Summary: The International Water Research Institute (IWRI) of the College of Agriculture and Environmental Sciences (CAES) at UM6P invites applications for a postdoctoral researcher in climate modeling and uncertainty quantification, focusing on extreme precipitation in data-scarce regions, with Morocco as a primary case study. Extreme precipitation events are inherently rare and poorly observed, particularly in regions with sparse and heterogeneous monitoring networks. Climate models therefore play a central role in understanding and projecting such extremes, yet they introduce multiple sources of uncertainty that propagate across scales. This project aims to systematically quantify and interpret these uncertainties across the hierarchy of climate models, from global to convection-permitting scales. Scientific context: Climate projections rely on a hierarchy of models with increasing spatial resolution, each introducing distinct sources of uncertainty that affect the simulation of extreme precipitation. Global Climate Models (GCMs) provide physically consistent representations of large-scale atmospheric circulation and climate variability, but their coarse resolution limits their ability to resolve key processes such as orographic forcing and mesoscale convection. Regional Climate Models (RCMs) dynamically downscale GCM outputs to finer resolutions, improving the representation of topography and land–atmosphere interactions, yet they remain strongly dependent on boundary conditions and continue to rely on parameterized convection, which is a major source of error in extreme precipitation. Convection-permitting models (CPMs), operating at kilometer-scale resolution, explicitly resolve deep convection and have demonstrated improved skill in simulating short-duration and high-intensity precipitation events; however, their high computational cost limits ensemble sizes, and their uncertainty structure remains insufficiently explored, particularly due to sensitivities to boundary forcing and physical parameterizations. Understanding how uncertainty propagates across the GCM–RCM–CPM modeling chain is therefore a central challenge, especially in regions such as Morocco, where complex topography (Atlas Mountains, Rif Plateau), diverse climatic influences, and limited observational data combine to produce highly variable and poorly constrained extreme precipitation patterns. Research Scope: The postdoctoral researcher will investigate uncertainty propagation across multi-scale climate modeling frameworks by combining multi-model datasets (e.g., CMIP6, MIT Regional Climate Model simulations, and convection-permitting simulations) with dynamical and statistical downscaling approaches, extreme value theory, and spatial statistics. The work will focus on decomposing uncertainty into its key components while assessing the added value of high-resolution convection-permitting models for extreme precipitation. Particular attention will be given to observational uncertainty in sparse data environments through the integration of station, satellite, and reanalysis datasets. The project will also develop and apply advanced uncertainty quantification methods with the objective of providing robust guidelines for climate modeling of extremes in data-scarce and topographically complex regions. Candidate Profile: PhD in climate science, atmospheric physics, applied mathematics, or related field Expertise in climate modeling and/or uncertainty quantification Strong programming skills (Python, MATLAB, Fortran, or similar) Experience with climate datasets and/or extreme event analysis is desirable Proven ability to handle HPC environements is an added asset