58 security-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at Imperial College London
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—respect, collaboration, excellence, integrity, and innovation—guide everything we do. You’ll be part of a supportive and forward-thinking team, working on projects that directly contribute to the safety and
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to secure an MD(Res) or expand your research portfolio, and positions you at the heart of the Fleming Initiative - a transformative partnership between Imperial College London and Imperial College Healthcare
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Imperial College London has secured three years of Research England Development (RED) funding to provide support to climate innovations that are ready to scale. This project – EarthScale – includes
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for interdisciplinary, impact-oriented research. The opportunity to work on an important research problem at the intersection of machine learning, protein design, and food security. Support to develop an independent
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will contribute to the day-to-day running of the laboratory, including maintaining good laboratory practice, organising consumables, supporting safety compliance, and training new group members in
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fundraising teams sit within the Advancement Division, which secures significant philanthropic income each year to support strategic priorities. The Division also ensures donors are appropriately thanked
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& safety, hygiene and fire regulations are also key elements of the role. You will have experience in supervising staff and excellent interpersonal and communication skills enabling you to liaise confidently
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contribute to the development of the epidemiological and statistical analyses plans, perform data analyses, interpret results, prepare scientific reports and publications, and support applications to secure
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discovery. Demonstrated experience supervising, training, and mentoring research staff and students to achieve high standards of scientific excellence. Proven ability to secure research funding and grants
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research with real-world impact on water security and decision-making. You will conduct cutting-edge research at the intersection of hydrology, data assimilation, and artificial intelligence, with a