28 assistant-and-professor-and-computer-and-science-and-data PhD positions in United Kingdom
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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in one PDF, if necessary. ADDITIONAL INFORMATION For further information about the application or the position, please contact Assistant Professor Shankar Deka, shankar.deka@aalto.fi. Additional
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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program
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PhD Opportunity: Multi-Omic Integration for Precision Oncology; Transform cancer care through genomics, data science, and translational biology. Swansea University are pleased to offer a fully
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
Location: West Cambridge, Cambridgeshire A position exists, for a Research Assistant/Associate in Photonics Integration of Graphene and Related Materials. The aim is to develop a new class of
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DEPARTMENT OF HEALTH TECHNOLOGY AND INFORMATICS Research Assistant Professor in Medical Laboratory Science / Biomedical Science / Medical Imaging and Radiation Science / Medical Physics / Medical
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software) and data analysis, and a keen interest in the intersection between environmental sustainability, computing, and science. They should have an ability to communicate and present results to other
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and