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will involve two key components. First, the computational analysis of TCR repertoires generated from the blood of large numbers of cancer cases and matched controls. Second, the role will involve
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February 2025) that has mapped emotional hotspots in cities using spatial analysis of social media data. Our next effort aims to incorporate explainable AI (XAI) to interpret and explain spatial patterns
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a project aimed at developing more exoelectrogenic cyanobacterial strains. The project involves the creation of large mutant libraries of cyanobacteria and automation of screening for electroactivity
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collaborative platform to: (i) establish standards and protocols for comparative methods; (ii) assemble and coordinate a team of international researchers; and (iii) enable open sharing of data, evidence, and
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from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
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the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
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desirable. Strong analytical capabilities and proficiency in the quantitative analysis of large datasets are also required. Click the 'Apply' button below to register an account with our recruitment system
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with a large and diverse research team. Previous experience with bioorthogonal chemistry and purification and characterisation of modified biopolymers by advanced mass spectrometry is desirable. We
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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kidney cancer research. This is an exciting opportunity to contribute to a large-scale, collaborative project investigating the genomic evolution of kidney cancer, using a uniquely rich cohort of patient