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Research Associate NIHR Equitable Bereavement Care For All Study
Job Description
The ?Equitable Bereavement Care for All? study aims to understand the needs and experiences of bereavement support services for people from ethnically diverse (ED) communities and begin to identify solutions to better meet current needs. We have begun conducting this qualitative study, incorporating principles of experience-based co-design, comprising three work packages (WP): WP1: Qualitative study with bereaved people. WP2: Collective case studies with bereavement support services. WP3: Co-design workshops We have already completed the qualitative interviews and focus groups ? as well as the coding. Therefore, we are looking for someone to assist in the framework analysis of the transcripts from WP1 ? as well as any potential write up of future publications. We are looking for a postdoctoral researcher with a strong track record in qualitative analysis. Ideally experience in framework analysis. Therefore, the post holder will have a strong background in qualitative research, ideally with experience of community-based engagement work.
Duties:
Key role in the qualitative data analysis, working alongside wider team members, with support from Dr Sabrina Bajwah and Dr Catriona Mayland. To support the writing up of sections of reports / manuscripts to a publishable standard and contribute to progress reports, presentations and any other reporting obligations, with support from line manager. Participate in project meetings. Present analysis results orally and in writing to the project team and key stakeholders as required.
Location:
Hybrid- remote working- attendance at Cicely Saunders Institute on Wednesdays may be required.
Qualifications
PhD in relevant subject area
Skills
Knowledge and experience of qualitative research Effective communication skills, both written and verbal, report writing skills, experience of delivering presentations Experience of working within a team or research group Evidence of writing skills at the level necessary for publication in peer-reviewed scientific journals and a formal progress report
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COMPASS-MS Therapist
Qualifications
MSc in Health Psychology
Skills
Experience in CBT therapy
About Us
The King?s community is dedicated to the service of society. King?s Strategic Vision 2029 sets out our vision for the future, shaped around five priority areas: educate to inspire and improve; research to inform and innovate; serve to shape and transform; a civic university at the heart of London; and an international community that services the world. Our ambitious Education Strategy sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us.
Student Conduct & Appeals handles a large number of student-related academic appeals, misconduct cases, fitness to study, fitness to practise referrals and complaints per year, and is also responsible for responding to complaints to the Office of the Independent Adjudicator for Higher Education (?OIA?), as well as managing student-related litigation
We are part of the wider Students & Education Directorate, a collection of wide-ranging professional services in place to support King?s students and their education. As a directorate we manage the student lifecycle from application to graduation and beyond, to ensure a coherent and seamless student experience and effective administrative processes, working closely with King?s faculties to do so.
About the Role
The Student Conduct & Appeals Manager is responsible for the management of a case load of referrals made to the Student Conduct and Appeals ranging from academic appeals, complaints and misconduct to fitness to practise and support for study processes. They are primarily responsible for investigating and bringing to resolution cases that have been referred to Student Conduct & Appeals as well as clerking the various committees which are involved in the processes dealt with by the team.
This is an exciting opportunity for candidates looking to work in a team that deals with a range of issues from academic to non-academic matters and who wish to utilise their skills and expertise in managing complex cases. This is an opportunity to grow your skills in dealing with complex university processes.
We encourage applications from candidates who have experience from both within and outside of the Higher Education sector where they can demonstrate the skills needed to succeed in this role.
Qualifications
PLease see the Job Description for essential criteria
Skills
PLease see JD for essential criteria, prior HE experience required.
We are seeking a research assistant with a background in social artificial intelligence to work on a Kings Together project, Minds in the Machine: Improving Mental State Inference in Artificial Intelligence, directed by Dr Caroline Catmur (Psychology) in collaboration with colleagues from Informatics.
The project seeks to carry out pilot work to develop artificial agents which can infer humans' mental states, in order to improve human-agent interaction. The work will be carried out by two research assistants, one with a background in Psychology (specifically, social cognitive science) and one with a background in Informatics (specifically, social artificial intelligence).
The Informatics research assistant will have the following key responsibilities: Liaison with the Psychology team to apply findings from human studies to design of artificial agent studies. Programming, data collection and analysis for artificial agent studies. Helping to draft pre-prints of study findings. Helping to disseminate findings including at team meetings and other events.
The role is available for up to 2 days (14 hours) per week from 3rd February to 1st August 2025, however a job-share arrangement (1 day / 7 hours per week) could also be discussed.
Qualifications
BSc in Computer Science, Informatics, Artificial Intelligence or related discipline OR equivalent research experience
Skills
Essential: A relevant qualification (BSc or MSc) or equivalent experience in Computer Science, Informatics, Artificial Intelligence or related discipline. Experience in managing research projects in machine learning / AI, including designing, formulating, and implementing AI agents, collecting research data, data analysis and dissemination of findings in written and verbal form. Practical experience of developing agent models using symbolic AI techniques. Good interpersonal and time management skills.
Desirable: Experience of carrying out research using large language models. Knowledge of the recent academic literature on artificial social cognition, in particular machine theory of mind.
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