24 algorithm-development-"Multiple" "Prof" Postdoctoral positions at University of Liverpool
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project aims to uncover not only the molecular changes but also to locate therapeutic targets that can be leveraged to develop new treatments that promote healthy aging. These posts are offered on a fixed
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information on lahar flow regime and flow properties can be extracted from their geophysical signatures (seismic, acoustic, deformation) opening the possibility of developing early warning systems that predict
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Neck Cancer (HNC) project. The project aims to develop a new HNC peer support intervention, which can be subsequently evaluated in the HNC care pathway. The successful candidate will play a key role in
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by an EPSRC Award. This is an exciting opportunity to join a cross-disciplinary team at The University of Liverpool working on an innovative project to develop and evaluate novel, fully automatic AI
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include: - Developing research protocols for codesign activities and trial evaluation. - Preparing ethics applications and related study materials. - Conducting literature reviews and rapid evidence
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reporting statistical analyses including model development and sharing of open code. - Lead on research publications and outputs, writing first drafts, as well as collaborating with colleagues to support
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diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic
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biogeochemistry who are interested in developing or diversifying into modelling are also welcomed. Specific training with the ocean biogeochemical model would be available. The role is part of the PRECOG project
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on the genome sequence analyses and you will develop bioinformatics pipelines for sequence analyses, lead the bioinformatic analyses with colleagues in Southeast Asia, and provide training and support to
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to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals