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Field
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personal qualifications A PhD in data science, statistical genetics, quantitative genetics, bioinformatics, statistics, computer science, or closely related fields (required). Experience with large-scale
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will possess a relevant PhD or equivalent qualification/experience in a relevant field of study (e.g. data science, AI, machine learning, statistics, physics). They will be motivated to solve problems
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Posting Details Position Information Posting Number 201104336 Position Title Postdoctoral Fellow (4-CYTE Collaborative) State WI Employment Status Full Time Position Status Limited Term If Limited
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involves conducting a data-enabled trial with the ultimate aim to tackle antimicrobial resistance and preparing for the development and funding for a SMART trial. The postholder will work closely with
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of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms
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necessary Contributing to data pipeline and administration, which may include data clean, linkage, and quality control Candidates should have: PhD in a relevant area (e.g. epidemiology, biostatistics
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and Data Science, Machine Intelligence, Human-Centred Computing, Cybersecurity, and Mathematical Modelling, underpinned by a strong culture of interdisciplinary collaboration and a commitment to
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry