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and algorithms to analyze complex data from X-ray, electron, and neutron experiments. This role involves research and development in combining advances in Fourier analysis, optimization, machine
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quantum algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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need. Apply AI and machine learning algorithms to software engineering projects in the researcher’s specific domain. Application of Domain Expertise Initiate and maintain open collaboration with
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hardware matters. Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range
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, building and testing projects within the data model and end-user testing. Some projects may also require algorithms or other calculations be built directly into Redcap. 20% Set up automated survey processes
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: Python, R, Java, C++, C#.Net, SQL. Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms
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equivalent). 3+ years of professional experience in software development or research, with a focus on data structures and algorithms. Teaching experience at the college or university level in data structures
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neuroscience, physics, or related fields is required. Minimum 1-3 years of experience in Monte Carlo simulations. Strong programming skills in Python. Proficiency with Monte Carlo algorithms, reaction-diffusion
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drug experts (clinicians, clinician scientists, data scientists, and laboratory investigators) to co-develop phenotyping algorithms but is expected to serve as the domain expert in high-throughput