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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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anesthesiology, diagnostic imaging, animal nursing, epidemiology, laboratory animal medicine, surgery, clinical pathology, medicine, and domestic animal reproduction. In addition, the SLU University Animal
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advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
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/technical programs and university-parallel/college transfer programs. Central Virginia Community College is seeking qualified individuals to serve as adjunct faculty in the Arts and Sciences Division
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are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of, or ability to quickly learn, project management
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& Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in
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Applications must be submitted online via the University College Cork vacancy portal https://ore.ucc.ie/ Queries relating to the online application process should be referred to recruitment@ucc.ie quoting
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. The research will explore how distributed computing principles can be applied across diverse domains, with potential applications ranging from large-scale graph processing to emerging areas such as edge
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regarding past actions and steps taken to address them. Disclosures will not be shared with search committees during the application review process. Application Materials Required: Further Info: http
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. These studies aim at addressing fundamental questions in ultrafast magnetism, including spin and angular-momentum dynamics in complex magnetic materials and metal/semiconductor heterostructures. In parallel