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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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to Reason (Inactive), Analytical Thinking, Big Data Processing, Bioinformatics, Communication, Complex Data Analysis, Data Management, Group Problem Solving, Laboratory Processes, Probabilistic Modeling
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process of obtaining) a master’s degree (or equivalent degree) or a baccalaureate degree in biology, immunology, bioinformatics, computer science, data science, computational biology, or a related
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). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative
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conventional production hosts. In parallel, we design and build advanced yeast cell factories. By combining fundamental biology with cutting-edge strain engineering, our work aims to enable sustainable
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multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
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for animal experimentation, genomics, imaging and bioinformatics, and strong support for PhD training, career development and international mobility. Where to apply Website https://t.ly/bkiAT Requirements
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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compatibility that will be used to rapidly evaluate the generality of key reactions. Key reactions showing a promising generality profile will then be subjected to a reoptimization process. This is necessary
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
architecture, health informatics, data privacy Computational Science: scientific computing, high-performance computing, large-scale parallel systems, modelling and simulation, bioinformatics, computational