Tianjin Normal University

About us The King’s Health Partners Clinical Trials Office (KHP-CTO) is a collaboration between King’s College London, Guy’s and St Thomas’ NHS Foundation Trust, King’s College Hospital NHS Foundation Trust and South London and Maudsley NHS Foundation Trust. Established to provide a single interface for those wishing to conduct clinical research within the partner organisations, and to ensure that there are common, efficient processes for the set up and administration of clinical trials. About the role To act as a single point of contact for a large and diverse portfolio of commercial clinical trials in set up across the Partner Organisations. To ensure feasibility assessments are conducted robustly to King’s Health Partner’s SOPs and to develop systems and processes to increase speed and efficiency of the feasibility process. To set up new commercial trials, including the review of contractual and financial terms and assessing, arranging and confirming local capacity and capability Responsible for providing an effective, high quality, timely and efficient contractual and financial/budgetary service to investigators, companies and contract research organisations seeking to conduct commercial trials in any of the Partner Organisations To review and negotiate commercial trial budgets and contracts in accordance with the National Contract Value Review process and ensure accurate completion To review and negotiate commercial trial budgets for contract amendments in accordance the National Contract Value Review process. To review and negotiate ad hoc agreements where needed, including PIC Agreements and ensure accurate completion The ensure the set-up and administration of Commerical trials is in compliance with the relevant legal, regulatory and internal governance. To work closely with academic, clinical and other staff, at all levels and across the partner organisations, providing appropriate advice and developing effective working relationships to help grow clinical research activity. To work closely with contract research organisations and commercial sponsors To ensure internal databases are kept up to date to track trial status and document relevant information. To provide day to day line management of one direct report. Mentor and develop new and existing team members, conducting annual PDR’s and all aspects of performance management To act as an ambassador for KHP-CTO To maintain a working knowledge of prevailing regulations, guidance, best practices and GCP standards regarding the conduct of clinical trials To actively contribute to the wider KHP-CTO team, working flexibly and proactively The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. This is a full time post (35 hours per week), and you will be offered an a fixed term contract for one year. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Educated to degree level or possess equivalent relevant experience in clinical trials Excellent organisational and time management skills and the ability to manage a large and diverse Proficient negotiator with ability to influence and excellent written and verbal communication skills Excellent interpersonal skills – tactful and being able to deal with a wide range of people in an enthusiastic and helpful manner and the ability to build successful relationships Demonstrably high levels of accuracy and attention to detail Practical problem-solving skills and the ability to think analytically. Knowledge, understanding and experience of the legal, regulatory, and statutory governance of clinical trials. Including GCP. Strong computer skills (proficient with MS word, Excel and web-based applications). Desirable criteria Experience of commercial clinical trial set up. Knowledge and understanding of the relevant contract templates and commercial costing model Experience of line management Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £45,031 - £52,514 per annum, including London Weighting Allowance Job ID: 133885 Close Date: 04-Jan-2026 Contact Person: Alex Hickman Contact Details: alexander.hickman@kcl.ac.uk

Bournemouth University is entering an exciting new chapter. With a bold and distinctive new BU2035 strategy and a clear vision for the future, we are redefining what it means to be a modern, globally connected institution. Our ambition is to provide learning and skills for a digital future, prepare graduates for a rapidly changing world, and create increased impact regionally and internationally while driving economic growth. To help us deliver this transformation, we are now seeking to recruit an exceptional leader to join the University Executive Team as Pro Vice-Chancellor Dean for the newly formed Faculty of Health, Environment and Medical Sciences. Reporting into the Deputy Vice-Chancellor and Provost, this is a key leadership role for the university and is an opportunity to shape and lead a significant part of the university’s academic portfolio. This is a unique moment to join a university on the rise under new leadership. Bournemouth combines the energy of a thriving coastal town with the ambition of an institution investing heavily in innovation. We have recently secured significant funding for the South West’s only Cyber Security and AI Centre, and we are driving forward health partnerships and MedTech innovation to meet the need of our region and beyond. Our strategy, BU2035, sets out a future focused on digital excellence, health innovation, and enterprise - all underpinned by a commitment to place and partnerships. The Pro Vice-Chancellor Dean for the Faculty of Health, Environment and Medical Sciences will lead strategic cross-sector partnerships with healthcare providers, environmental agencies, government, NGOs and industry, driving research, innovation and enterprise excellence that tackles complex societal challenges, and fostering an innovative educational offer across diverse subject areas for a 5,000-student faculty. The Faculty spans a wide range of disciplines, across health, environmental and medical sciences, and is deeply connected to regional partners. Building on these strong regional ties, this role is central to our vision for health and life sciences education and applied research. Candidates will have the ability to integrate health, environment and medical sciences, promoting interdisciplinary collaboration, while demonstrating a strong understanding of a practitioner-led and complex regulatory environment. We are looking for a dynamic and collaborative leader, with vision, energy, and the ability to inspire. Candidates will bring senior academic leadership experience, strategic insight, ambition and a passion for innovation, as well as financial acumen and strong experience of operational and resource management. This is a catalyst role for change and is ideal for individuals who want to make a lasting impact on a university and the communities it serves. For more information on how to apply, visit www.odgers.com/95092

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 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus 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. The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and collaborate with international experts in materials and surface science. Together, you will help advance this key scientific discipline, which directly impacts such important technological and societal topics as semiconductor devices and heterogeneous catalysis for green fuel production. You will be fully integrated within the DAS group, a vibrant and diverse research environment whose core expertise is the development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has access to state-of-the-art supercomputing facilities (like LUMI) and is very well integrated within the scientific community internationally. More about our activities: https://miguelcaro.org. The position is fully funded. Informal inquiries about the position can be directed to Ondřej Krejčí (ondrej.krejci@aalto.fi). Please, read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge of the precise atomic structure is important for understanding and predicting electronic and catalytic properties and thus to engineer the material surfaces better for their technological usage.  For training the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools. You will also discuss tool development with AI and machine learning experts at Aalto University and share your results with experimental collaborators. The position is part of the Research Council of Finland project Towards Realistic Surface Structures (https://research.fi/en/results/funding/86328). A secondment to the group of Prof. Gareth Parkinson at the Technical University of Vienna is planned. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, machine learning and a broad understanding of surface and material science. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning, and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., VASP, GPAW, FHI-aims). Molecular dynamics packages (e.g., LAMMPS, GROMACS). Machine learning interatomic potentials (e.g., GAP, MACE, ACE). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. If you have experience with other types of modeling tools (e.g., FEM), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer  Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years with a possible 2-year extension after passing the midterm review. During the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3075 € / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the Spring 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 8.1.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. 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. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted.  Questions about the vacancy may be directed via email to Dr. Ondřej Krejčí (firstname.lastname(a)aalto.fi). About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland 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.