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Field
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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individual who will be responsible for recruitment and data collection in the final work package of the ICALD programme: a randomised trial with stepped wedge design evaluating the delivery and implementation
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neurodivergent children and their families, and conducted the bulk of data collection. The primary role of the PDRA is to support the design and UK-wide tour of a playhouse tent which will communicate children’s
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work package of the ICALD programme: a randomised trial with stepped wedge design evaluating the delivery and implementation of an intervention package aimed to improve communication between social care
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well in a team and possess strong interpersonal and leadership skills (e.g., knowledge how to foster and deal with diversity, coaching and mentoring skills). Additionally, experience in designing and
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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. You will play an important role in the contribution in understanding ways to rejuvenate the thymus and thus the adaptive immune system in health and disease. You will be responsible for co-designing and
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team of Professor Holly Krieger and work on any aspect of algebraic, arithmetic or complex dynamics. The role holder will be expected to plan and manage their own research and administration, with
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at the forefront of innovation in developing engagement and participatory mechanisms, collaborating with a diverse network of experts to influence local and national governments, campaign and community groups as the
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at risk of developing depression. Working with a multidisciplinary team, including experts in lived experience, clinical research, and digital mental health, you will co-design and implement a feasibility