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. The long-term goal is to enable targeted interventions for the right individuals, based on their lifestyle, disease trajectories, and molecular profiles. To achieve this, we will apply deep learning models
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responsibilities will include investigating the structural and biophysical properties of miniaturized tumor environment models. You will be responsible for fabricating these systems using both cleanroom-based and
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position based at SciLifeLab in Stockholm. The project focus on characterizing phenotypic and genomic variation associated with seasonal camouflage variation in willow grouse (Lagopus lagopus). The analysis
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at Uppsala University can be found here . Project description Digital pathology and detection of cancer based on hematoxylin and eosin (H&E) stained tissue samples has made enormous progress in
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rate, and virtually nothing is known about a putative connection between these mutation rates. Using several Drosophila melanogaster model systems, in combination with quantitative genetics, experimental
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and morphology. More information about us, please visit: the Department of Zoology SciLifeLab is a national research infrastructure based in Stockholm and Uppsala. In Stockholm, SciLifeLab is located
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immunity and develop diagnostic approaches that accurately predict therapy benefit and enable successful individualized cancer therapy planning. Contemporary AI-based approaches show great promise to advance
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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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-made nanoaggregates as drug nanocarriers. Project description: Drug nanocarriers today rely primarily on lipid-based nanoparticles. However, these particles have limitations, for example they suffer from