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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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staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds
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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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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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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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to the project. The ranking of applicants will be based on undergraduate grades, on the undergraduate education profile and on any additional experience of research in areas of relevance for the research project
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of molecular pharmacology, biochemical, and cellular assays to discover new small molecule and antibody-based prototype drugs. SciLifeLab DDD maintains a semi-industrial environment within the universities where