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analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover letter with your application. Describe a deep learning project you have
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Pediatric Bioengineering(HSJD) Specific focus / expertise: Artificial intelligence and data science applied to bioengineering, including (but not limited to): – Machine learning and deep learning for complex
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-performance of novel nanomaterials with sustainable membranes for desalination and water purification via separation processes. The candidate will work in a multidisciplinary environment consisting of PhD-level
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Associate/Full Professor- Plant Ecology, Evolution and Systematics- Integrative Biology, and Directo
and Jepson Herbaria website . Qualifications Basic qualifications (required at time of application) PhD degree (or equivalent international degree). Additional qualifications (required at time of start
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towards completion of a PhD. Experience in or demonstrated potential and capability for university-level teaching and learning. A good record of, and continuing commitment to, research that has achieved
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. Additional information about the project can be found on the preliminary webpage: https://sites.google.com/view/unifying-arithmetic-statistics/ You will support the full range of the grant’s initiatives
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deep learning for complex biological and engineered systems Data-driven modeling and simulation in bioengineering Digital twins and predictive modeling for biological systems Signal and image processing
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inclusive learning environments for students. Key Responsibilities: · Recruit talented students into the PhD program. · Advise and mentor PhD students throughout their research training
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career advising services to international students at all levels of academic progress, undergraduate through PhD. Demonstrated experience and a deep commitment to working with and supporting students
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of reproducible code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Experience in training deep learning-based models on HPC-resources is also meriting. A