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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and
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constellation of SciLifeLab researchers and infrastructure units. This position is embedded in Avlant Nilsson’s research group at Karolinska Institutet and SciLifeLab. Our lab develops deep learning models
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