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Field
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streams across the continent, multiple differently coloured catfish communities coexist, forming diverse mimicry “rings.” This project will use whole-genome resequencing to tackle three key questions: Which
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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-flight mass spectrometer setup and use it for mass spectrometry experiments with different molecules at different conditions; see for example the open access articles https://doi.org/10.1039/D3CP01162C
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Primary Supervisor: Dr Jose De Vega Scientific Background: Interspecific hybridisation is a common mechanism of diversification in plants, unlike in animals, largely because plants can overcome
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ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions estimates, based on inventory-style accounting and mobile tracking data, can differ significantly from each
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. Individuals with Runs of Homozygosity (ROH) spanning immune genes are more susceptible to viral infection. Differences in alleles at immune genes explain variation in disease status of birds. Training: AI
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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, paid at the prevailing UKRI rate for 3.5 years of full-time study. Non-UK students can apply but will have to personally fund the difference between the Home and the Overseas rate. Eligibility: The
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storage in our energy system? Contribute now to quantifying the economic impact of different technologies for heat storage. Job description In PUSH-IT we developed a unified framework for the combined
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ultrafast laser pulses on femtosecond timescales. Combining nanofabrication, electromagnetic simulation, and pump–probe laser measurements, the project will explore how 3D geometry, and different materials