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Neuroscience, or a related field—or an equivalent combination of education and relevant experience. 3+ years of experience fine-tuning spatial transformer networks, contrastive learning, model distillation, RLHF
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spatial accuracy of approximately 5 nm and temporal accuracy of 2 to 5 ms in cell cultures on coverslips. The aim of this project is to achieve the same performance in depth in biological tissues
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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BIOS-06/A - A synaptic mechanogenetic technology to repair brain connectivity - CUP: J93C22002400006
of neural networks. The technology will be validated in mouse models of neurological disorders. Where to apply Website https://pica.cineca.it/units Requirements Additional Information Eligibility criteria
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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production is established, they will utilise the polymer for 3D printing of PHA-based patches with controlled temporal and spatial drug release in the EPSRC project. This work will be in collaboration with
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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
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tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical
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disease ⎯ Establish and optimize 3D culture models to explore endothelial–epithelial cross-talk ⎯ Perform imaging and spatial transcriptomics; contribute to data analysis & interpretation ⎯ Write and
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group Physical Geography, which has a sound reputation in the research domains of landslides, “human impact” on geosystems and spatial modeling of geomorphic processes as well as in the applied research