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  2. Research Student

    Jiyoung Kim

    Research Student
  3. StaffSchool of Management
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    David Carew

    Senior Lecturer in Organisational Behaviour

    David is an established Occupational and Organizational Psychologist with practitioner and senior leadership experience gained across several public, private and non-government organisations in the UK and Europe.

  4. Research Student
    Thumbnail for Selman Yaglikara

    Selman Yaglikara

    Research Student
  5. Research Student
    Thumbnail for Hamza Othman

    Hamza Othman

    Research Student
  6. StaffSchool of Management
    Thumbnail for Dr Chia-Yu Kou-Barrett

    Dr Chia-Yu Kou-Barrett

    Lecturer in Organisational Behaviour and Applied Psychology
  7. Research Student
    Thumbnail for Okelani Aworabhi

    Okelani Aworabhi

    Research Student
  8. StaffSchool of Management
    Thumbnail for Dr Lyn Lanka

    Dr Lyn Lanka

    Lecturer in Organisational Behaviour and Course Director of Management and Leadership MSc

    Dr. Evelyn (Lyn) Lanka's educational background is in Psychology and Management. She obtained her Bachelor of Arts degree in Psychology from California State University, Monterey Bay located in California, USA.

  9. Research Student
    Thumbnail for John Pearce

    John Pearce

    Research Student

    John Pearce is a doctoral student in the Bioinformatics Group at Cranfield. Interests include early data exploration, clustering and visualisation, scRNAseq, Self Organising Maps (SOMs), alternative distance measures and inclusion of additional

  10. Research Student
    Thumbnail for Felix Bomabebe

    Felix Bomabebe

    Research Student

    Flood Risk Reduction Flood Disaster Management Community Engagement in Flood Management Risk Management Risk mitigation Disaster management Project Management

  11. Research Student
    Thumbnail for Neha Joshi

    Neha Joshi

    Research Student

    Neha Joshi is a PhD research student at Cranfield University's Agrifood department, specialising in how Earth observation imagery and machine learning methods can be used to improve the sustainably of sugarcane production in India.

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