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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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(Quince). For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (MED/SCI
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an individual Resistant, Tolerant, or Susceptible (R/T/S) to a virus? That is the key question we aim to answer in this PhD study. We have gathered data on viral outbreaks over ~20 years and sequenced hundreds
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samples for encapsulation studies Maintain exceptional accuracy in data recording, analysis, and reporting Contribute to experimental design and troubleshooting with high attention to detail Present
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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data Programming and coding scripts for data analysis Writing research papers under the supervision of the PI, aiming to publish in top-tier journals Dissemination of results at national and
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the development and programming of the VR environment; Participates in data collection and analysis; Contributes to the drafting of research reports; Participates in validation activities of the VR system
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to structured spectral annotation supporting advanced downstream data analysis (in collaboration with a dedicated postdoc) Present research findings through peer-reviewed publications and international
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The interplay of TCS with Harmonic analysis and additive combinatorics There will be opportunities for collaboration with faculty members and PhD students and to engage with the broader quantum computing and