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exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
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services, distributed web authentication, LDAP, computing account management, and other similar technologies, as well as auditing software, centralized antivirus management, intrusion detection systems
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services, distributed web authentication, LDAP, computing account management, and other similar technologies, as well as auditing software, centralized antivirus management, intrusion detection systems
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with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field, demonstrated through education or
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based on MPI. Experience working with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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referred specimens for diagnostic testing: Perform required training on and demonstrates proficiency with multiple laboratory information systems Perform referred specimen accessioning for the laboratory
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques, prior distributions and posterior predictive checks, model comparison
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Huntington’s disease, and a preclinical model of schizophrenia. In a parallel program of research, we have been exploring epigenetic inheritance via the paternal lineage. We have discovered the transgenerational