149 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" uni jobs at Ulster University
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statistics (BSc Psychology level, or related discipline). Interest in AI and large language models (LLMs) (technical development/programming skills not a prerequisite). Essential criteria Applicants should
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initiatives, they are shaping a more inclusive future for all. Ulster University students from our MSc in Applied Behaviour Analysis (ABA) program have been going to NECC for year-long placements since 2008
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on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold or who are registered on a taught Master’s degree are eligible
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on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold or who are registered on a taught Master’s degree are eligible
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hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold or
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admission requirements may be offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award
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roll-out across tenure types. Northern Ireland is the only part of the UK without a retrofit funding programme and this absence of financial incentivisation has created an impasse amongst homeowners
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of the Northern Ireland Programme for Government or Sectoral Action Plans. Essential criteria Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the
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. It aligns with the Programme for Government 2024–2027 and positions the region as a leader in equitable, multilingual governance. The project’s outcomes—evidence-based policy recommendations
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insights that support diagnosis, rehabilitation, and long-term wellbeing. The programme will focus on developing responsible, interpretable, and accessible AI frameworks that enable clinicians and