Qingdao University of Science and Technology

Assistant/Associate Professor - Political Science - Fall 2026ID: 2034Department: College of Humanities and SciencesType: Full-time FacultyPost Date: 12/19/2025Position Available Date: N/ADescriptionThe University of Mary Hardin Baylor's College of Humanities and Sciences seeks qualified faculty for its History and Political Science Department beginning in late July of 2026, with initial appointment at the rank of Assistant or Associate Professor, commensurate with qualifications and experience. UMHB seeks faculty who are active Christians and dedicated teacher-scholars to prepare students for leadership, service, and faith-informed discernment in a global society.The Political Science program offers Bachelor of Arts and Bachelor of Science Political Science. The Department also instructional supports other degree programs and contributes to the Core curriculum.UMHB is conveniently located in Belton, an historic town of 22,000 in the heart of central Texas. Nearby cities are Temple (5 miles), Waco (45 miles), Austin (65 miles), San Antonio (130 miles) and Dallas/Ft. Worth (130 miles). Excellent schools, abundant cultural and recreational opportunities, and a high quality of life are hallmarks of the local community.Faculty Responsibilities:Activities required of all faculty include exemplary teaching, curriculum development, student recruitment and advising; professional attainment; and service to department, college, university, and the community.Specific Responsibilities:This position includes teaching undergraduate courses in political science; ongoing curricular and course revision and development; advising and mentoring students; and participating in departmental and university committees.This position requires oversight of the Political Science major including its curriculum and promotion of the major and serving as program director for the Political Science major.Qualifications: Must be an active and committed Christian who will support the University's mission and who will be an active participant in their local church. A Doctorate in Political Science is required; ABD will be considered (tenure-track status requires terminal degree in hand). Specialization in American Politics required and the ability to teach in one of the following subfields of Political Science:Comparative Politics, International Relations, or Political Theory. Excellent teaching and communication skills, a dedication to professional attainment, and commitment to quality improvement are essential. Must agree to the University's Employee Statement of Understanding. Salaries and Benefits: Competitive salary commensurate with experience, excellent benefits including medical and dental insurance, retirement plan with match and UMHB tuition benefits for employees and their dependents.Application Deadline: Position will remain open until filled.To Apply: Visit www.umhb.edu/careers for more details and to apply. Please submit a cover letter, CV, transcript copies and evidence of quality teaching performance with your online application. Your letter of interest should also respond to UMHB's mission and values, found at http://about.umhb.edu/our-mission. In addition, include in one page or less, a description of your own Christian beliefs and commitments.Review of applications will begin immediately and continue until position is filled. For information regarding employment at the University of Mary Hardin-Baylor, please visit our Careers Site.To apply, visit https://umhb.applicantstack.com/x/detail/a2zc18o37fypCopyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-d62aae798a001b4095692a2c43c64b4c

About us  King’s College London invites applications for a Postdoctoral Research Associate (PDRA) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focusses on integrating equity considerations into infectious disease modelling and surveillance, starting with the UK. The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute.  The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, John Hopkins University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups.  Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally.  This is a full time post (35 hours per week), and you will be offered a fixed term contract until 30 April 2030. Part time employment may be considered. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you  To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair and inclusive work environment. Excellent written and oral communication skills, including to diverse audiences.  Desirable criteria Experience managing stakeholder relationships and working in a practitioner/policy context. Experience working on interdisciplinary research projects. 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. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 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 advert. 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. Interviews are due to be held between Monday 19th - Friday 23rd January 2026. Grade and Salary: £47,379 per annum including London Weighting Allowance Job ID: 134809 Close Date: 11-Jan-2026 Contact Person: Sabrina Li Contact Details: Sabrina.Li@kcl.ac.uk

About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 300 experts in women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature, and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across Guy’s, St Thomas’ and Waterloo campuses, King’s Denmark Hill, our academic programme of teaching, research and clinical practice is embedded across five Departments.  More information: https://www.kcl.ac.uk/slcps About the role We are looking for a skilled biomedical scientist with a strong interest in the human microbiome, clinical test development and have proven relevant microbiology/sequencing and bioinformatics skills. An interest is reproduction and pregnancy is desirable. The post holder will be responsible for optimising protocols for rapid testing of the reproductive tract microbiome and developing a bioinformatics workflow for data generated using an Oxford Nanopore Technology platform. The post holder will be supported by an experienced bioinformatician members of the Clinical Diagnostics Development Team based at Guy’s Campus. They will work with existing human samples and alongside members of Professor Tribe’s and Dr Rocio Martinez Nunez’s labs, The Hub for Applied Bioinformatics (Dr Alessandra Vigilante) and the clinical preterm birth team based at St Thomas’ Hospital.  The postholder will need to be methodological, organised and efficient with proven experience of working within a relevant lab setting and generation of results at a conference or via a peer reviewed publication. They will also have excellent communication skills and the ability to work with multiple teams seamlessly. This is a full-time post (35 hours per week) and you will be offered a fixed term contract until 31 May 2027. The postholder will be expected to be on site as this is a lab-based role. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria BSc in Microbiology, Biomedical Sciences, or equivalent (Upper second class or higher) - Grade 5 Research Assistant only PhD (or pending results) in relevant subject to microbiology and/or reproductive health - Grade 6 Research Associate only Proven lab experience in microbiology and sequencing Experience of optimising research methods/protocols Experience of using R for bioinformatic analyses. Evidence of research publications (e.g. conference abstract or paper) Demonstrable skills in written and spoken English that enables effective communication Experience of working in a multi-disciplinary team Ability to work on own initiative and to work to and meet firm deadlines Desirable criteria Experience in developing protocols for future implementation into a clinical environment Industrial work experience Knowledge of GCP and HTA regulations 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 next page after you click “Apply Now”. 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. 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 advert. 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. Interviews are due to be held by mid-January 2026, with a start date by March 2026. This post is subject to Occupational Health clearances. Grade and Salary: Grade 5: £39,076 - £43,909 per annum; Grade 6: £45,031 per annum, including London Weighting Allowance Job ID: 134785 Close Date: 07-Jan-2026 Contact Person: Prof Rachel Tribe Contact Details: Rachel.tribe@kcl.ac.uk