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Field
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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You will be working in a larger research and development project in parallel, distributed and heterogeneous computing. The project work can, under certain circumstances, be combined with an internal
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maintenance of a viable research program. The candidate's research program should contribute to the areas of parallel scientific computing, with experience in several of the following areas: mesh generation
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written communication skills. A collaborative mentality towards research and mentoring. Desired skills and techniques include experience in parallel computation and advanced numerical programming, using
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using a combination of spatial transcriptomics and immunostaining (Acha-Sagredo Cancer Cell 2025). In parallel, we developed computational methods for the analysis of spatial omics data (Bortolomeazzi
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. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
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the forefront of RNA biology, utilizing massively parallel reporters to identify sequence and structural elements that regulate mRNA stability and translation. In this role, the candidate will leverage
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Scheduled Hours 40 Position Summary Assists with research projects being conducted in the Integrated Biomedical Imaging Lab (IBIL) including computational data analysis, technical preparation