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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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circumstances and is a postdoctoral role under SOC code 2119. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus
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mechanisms underlying gene regulation within immunological disease models. This will include pooled and arrayed CRISPR screens in combination with the interrogation of coding and non-coding human genetic
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subject to a satisfactory outcome of this process. For the purposes of sponsorship, this role may be eligible depending on candidate circumstances and is a postdoctoral role under SOC code 2119
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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diffraction (EBSD), energy dispersive microscopy (EDS), image quantification, correlative microscopy, and electron probe microanalysis (EPMA). Prior experience is desirable but not required given a strong
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language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment. AI Postdoctoral Research Fellows will be appointed through the Princeton
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achieve recognition and impact in the research area. Designs PCBs and develops FPGA code as a core aspect of the design process. Develop image signal processing systems and sensor motion control
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, transcriptomics, antibody assays, and advanced 3D microscopy. For this, a lightsheet microscope dedicated to the imaging of cleared samples is being acquired, as well as a workstation for VR-assisted image analysis