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Field
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combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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in real-world public health applications, including pandemic preparedness, outbreak forecasting, and integrating diverse data sources to inform decision-making. PREFERRED QUALIFICATIONS: PhD in
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environment. The mission of the center is to adopt a transdisciplinary approach to advance research and education in quantum computing and algorithms, quantum materials for next-generation technologies, and
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University School of Medicine Postdoctoral Residency Program in Health Service Psychology, directed by Nadine Kaslow, PhD, ABPP. JOB DESCRIPTION: Helps design and conduct research within a specified field
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opportunity to build a solid career foundation in the pharmaceutical industry while contributing to advancing human health through AbbVies industry-leading biopharmaceutical pipeline. Role Overview The Drug
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We are seeking a highly motivated postdoctoral researcher to join an EPSRC funded project that will design bio-instructive materials for translation ready medical devices. A novel class of polymers
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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performed an RNA-seq screen in mouse embryonic stem cells and neural progenitor cells and identified differentially expressed lncRNAs. The proposed studies will build upon these findings and use innovative
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publications, development of new research initiatives, competitive research funding, and industry links. Demonstrated ability to supervise higher-degree by research candidates. Ability to build effective