156 phd-student-fpga Postdoctoral positions at University of Oxford in United Kingdom
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recruitment to trials of student-specific digital interventions. You will receive training and supervision from Professor Kate Saunders and will work closely with other members of the research team including
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. This may include lecturing, small group teaching, and tutoring of undergraduates and graduate students. Applicants should hold a PhD/DPhil, (or close to completion) in atmospheric physics or related fields
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning
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to the smooth running of the Group’s laboratories with other scientists, technicians and students, whilst maintaining highly organised and accurate records of experimental work and findings. You must hold a
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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, devising, coordinating, and supervising research projects in this area, including the work involved in the collaborations with project partners, guidance to students, participating in and organising seminars
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up