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/Machine Learning engineers. Want to leverage your skills to usher in the era of personalized disease modeling? The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals
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will involve (but not be limited to) applying sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial
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investigate how intra-tumour heterogeneity (ITH) shapes the immune microenvironment in primary and metastatic breast cancer. Using spatial transcriptomics and mouse models, the candidate will map immune niches
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spatial transcriptomics, with the ultimate goal to understand and harness immune responses in human diseases. The Engblom and Villablanca labs form a tight-knit collaborative team of scientists with diverse
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, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications ? Substantial expertise in training deep learning models and tuning large
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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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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
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Requirements You are an independent, highly motivated researcher with solid interdisciplinary experience in agronomy and plant genetics, and a growing foundation in spatial data analysis. You also possess: A PhD
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and spatial conditions influence energy performance and thermal comfort. By combining spatial mapping, data modelling, and fuel poverty metrics, the project will identify where health risks are most
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wireless communication systems. The PhD student will carry out specifically the following initial tasks: implementation, and calibration of the microscopy system; electromagnetic modelling of the near-field