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to understand the mechanism of cancer development, progression, metastasis, and prognosis. Works closely with experimental biologists and clinicians to design experiments, validate computational findings, and
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(+16 hrs) conditions. You will work closely to two other researchers: one with tissue culture expertise and one with practical plant breeding expertise. The work duties include: Plan, design, execute and
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for experiments aimed at discovering genetic traits associated with tolerance to foliar-shade including carbon allocation in different turfgrass species. Design, execute, and analyze data for turfgrass seed
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protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, PhD/DPhil in Biology
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robotics and design journals/conferences. Essential Criteria PhD (or equivalent experience/Masters with significant research background) in a relevant field Extensive programming skills (e.g., C++, Python
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involving different decarbonisation technologies, as well as the development of AI-driven decision-making tools for optimising low-carbon marine powertrain designs. This position is part of the Horizon Europe
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conduct highly specialized and advanced experiments using established scientific protocols and procedures and, in some cases, designing new protocols; summarize findings and publish results in research
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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with
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with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants will be educated to degree level or have equivalent professional experience in
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, or related fields Strong background in game theory, mechanism design, control systems, and/or learning theory Programming proficiency and experience with simulation tools Excellent publication record in peer