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environmental impact of its scientific computing. A significant part of your work involves a close collaboration with the Green Algorithms team at the University of Cambridge - an internationally
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120Pb of scientific data . Working at the intersection of software engineering, scientific computing and bioinformatics, the team delivers services that support researchers in working with biological
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position requires mastering computing tools and the successful candidate will be expected to demonstrate a strong interest and affinity for digitization and to embrace change. Duties and Responsibilities
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EMBL Grenoble specializes in fundamental research in structural biology, and in developing state-of-the art instrumentation, methods and services. The site is located on the dynamic European Photon
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workflows and post-processing pipelines. Maintenance and development of the group’s codebase and GitHub repositories, and providing cluster computing support for large-scale data analysis. Programming and
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developers and users, transforming emerging spatial omics methods into standardized, reproducible workflows and supporting collaborative research projects. Your responsibilities Develop, optimize and
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as C, Rust, Arduino, microcontrollers, NI Real-Time or NI FPGA. Experience programming specialist computing hardware, including FPGAs or GPUs, using technologies such as CUDA, VHDL, Verilog or Xilinx
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systems that process terabyte-scale datasets Experience with modern JavaScript frameworks such as Vue.js or React Experience using high-performance or distributed computing environments, including Slurm
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workflows and instruments Analyse data and report results clearly to users Organise and teach in courses and workshops Help develop and introduce new methods in correlative and volume EM Operate our
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the developed imaging methods and contribute to cross-site method development, including hosting and co-supervising visiting researchers from the partner institutions. The successful candidate is