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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This position is funded
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, including databases; data mining; natural language processing; data visualisation and analytics; recommender systems; social sensing and activation. o Decision Making & Optimization, including large-scale
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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quality assurance procedures. Follows required processes, policies, and systems to ensure data security and provenance. Knowledgable about requirements for depositing data and following repository and meta
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quality assurance procedures. Follows required processes, policies, and systems to ensure data security and provenance. Knowledgable about requirements for depositing data and following repository and meta
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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basis for the first draft of written reports, and makes preliminary interpretations of the data. Assists with assembly, annotation, meta-genomic analysis, and genotyping using high-throughput sequencing
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(large scale heterogenous data synthesis, meta-analytic studies, conceptual synthesis) Experiences and interests in shaping modern team science research and interest in super-visioning & coordinating
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hyperparameter optimization, meta-learning, and adversarial training. The general bilevel problem can be written as: min F (x, y∗(x)) where y∗(x) = arg min f (x, y), d
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical