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two PhD students for this project. Your work focuses on integrating multiple sources for prediction, including common and rare genetic variants, family history, ancestry and typical age of onset. Your
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(Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital health technologies Excellent command of written and
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. A
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- from individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological
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individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological neurons
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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k
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command of written and spoken English Strong communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest
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) or the equivalent in Computer Science, Information Security, Statistics, or related fields at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT
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-Carrier Energy Hubs (MC-EHs), where multiple energy generation, conversion, and storage technologies across diverse carriers integrate smartly and locally, show promise for overcoming such barriers