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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in the Netherlands, undertaking interviews and participant observation to trace how welfare algorithms
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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-on experience building or modifying equipment and working effectively within multidisciplinary teams. Experience with Linux, ROS/ROS2, electronics and sensor integration, algorithm design, and laboratory
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intellectual freedom for developing an independent research profile within the lab’s broader focus. Projects may address questions in evolutionary developmental biology, morphological evolution, comparative
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Research Council (now UKRI Frontier) grant “Age-Enabled Exoplanet Science”. The successful candidate will work on determining the timescales and relative roles of key evolutionary processes in sculpting
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public engagement related to ageing, sociality, and conservation. This position offers an exciting opportunity to work at the interface of evolutionary ecology, ageing, and data science, addressing
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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mechanism design, algorithmic game theory, or social choice theory, as evidenced by peer reviewed publications 3. Strong mathematical and analytical skills 4. Excellent written and oral
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/DPhil in a subject relevant to Biochemistry and have specialist knowledge on an aspect which is pertinent to the project, such as chromatin biology, molecular evolutionary analysis, molecular dynamics