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Field
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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aspirations and development goals. Job Requirements: Essential Criteria Close to completion or hold a relevant Ph.D. with post-qualification research experience in statistical machine learning, and deep
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single-cell omics datasets
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Australia. With at least five years of clinical experience in primary care, aged care, or gerontology, you bring a deep understanding of healthcare delivery. Your strong research track record includes high
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platform that utilizes deep learning to analyze images of bruises. Responsibilities: Responsible for developing components of the project platform or deep learning application; Supervises a team of graduate
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Institution. Faculty at CSU are among the best in their fields and combine classroom learning with experiential learning. CSU is recognized as a leader in student success and supports the holistic student
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well as to leading HPS and STS centers in Germany and around the world. The researcher taking on this position will be required to teach 5 hours per week, in accordance with postdoctoral workloads across Germany. The
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learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML