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and generative AI solutions tailored for large-scale research datasets. Prototype AI applications on local GPU-hardware, ensuring seamless scalability to HPC environments like the Gefion supercomputer
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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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performance computer architectures, specifically GPUs. Responsibilities /Tasks Develop three-dimensional 6-moment gyro-fluid simulation code in particular to include plasma-neutral interactions, multispecies
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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
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. The Center has state of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and advanced microscopy. This position offers
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diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also create multi-fidelity predictive
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quantitative genetics, machine learning, bioinformatics, and population genetics, and their applications in an agricultural setting A modern dedicated computational infrastructure (CPUs & GPUs) Well-developed in