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Field
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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strategies for solar energy devices. SOLEN (SDU Climate Cluster, SCC, Elite Centre on Solar Energy Conversion and Storage) is an SCC Elite Centre that brings together 4 SDU faculties located across 4 SDU
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clustering and large scale structure, and dust and gas at high-z. Applicants with experience in observational extragalactic astrophysics are encouraged to apply; those with expertise in optical/near-infrared
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, international relations and global development studies. The selected candidate will have a large degree of freedom to develop the focus and direction of their post-doctoral research, and in a way that connects to
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
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developing and implementing very large deep learning models. Familiarity with high performance computing environments (e.g., HPC clusters, GPUs, Cloud resources) and managing Linux based hardware systems
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The NeuroGenomics and Informatics Center (NGI) is at the forefront of generating and analyzing Whole-Genome Sequencing data and high-throughput, multi-dimensional data. Their focus is on understanding
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Forestry, Earth Science, Computational Science, or related fields. Ph.D. research experience in wildfire engineering, fire science, landscape modeling, or related topics. Experience in working with big data