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in the field of Civil Engineering with at least five years of work experience in the direct execution of construction works, and during their scientific and research work have improved through various
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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Identifying optimal multi-use portfolio considering battery degradation Digital twin and cloud platform mechanisms to facilitate decision support system Where to apply Website https://www.jobbnorge.no/en
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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scientific activities related to data production and structuration, carried out by project partners in the humanities and social sciences, particularly in heritage science, across various corpora and case
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within a university administrative structure A strong record of effectiveness and comfort in public speaking Demonstrated ability to supervise student work, while fostering student confidence
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word
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identifiable information, 2). create publishable maps of data locations, 3). organize data to the structure fitting of publication, and 4) contribute to publication documentation. We will provide any required
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https