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-parallel/college transfer programs. This position serves as a resource to prepare students for a career through advising, coaching, preparing, and connecting them with the local workforce. The Career
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, communications (written and verbal), organizational, and interpersonal skills. Ability to work on multiple projects in parallel, organize and prioritize goals, and work effectively both independently and as part
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are driven, responsible, and highly lab-oriented, with the ability to manage multiple tasks in parallel. What We Offer This position provides a rare opportunity to build a new synthetic platform from
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to neuronal dysfunction and degeneration in HD. In parallel, epitranscriptomic mechanisms, particularly N6-methyladenosine (m6A) RNA methylation, have emerged as key regulators of neuronal homeostasis, but
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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
architecture, health informatics, data privacy Computational Science: scientific computing, high-performance computing, large-scale parallel systems, modelling and simulation, bioinformatics, computational
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International Review of Cell and Molecular Biology (Elsevier, 2018; https://linkinghub.elsevier.com/retrieve/pii/S1937644817300825)vol. 335, pp. 41–84. The molecular basis of cell self-renewal and pluripotency in
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biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical properties. In parallel, they continuously sense and
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and