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. Experience with high-speed data acquisition, signal processing, or FPGA/GPU-based DSP is considered an advantage. The ability to work independently while contributing effectively to a collaborative research
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with structure and function of microbial communities, primarily related to environmental biotechnology. The Center has state-of-the-art equipment within DNA sequencing, laboratory automation, CPU and GPU
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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framework and implemented on our research scanners for pre-clinical trials and validation at the University of Copenhagen using GPU processing. Qualifications Candidates should have a PhD degree in electrical