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Field
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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Temple University, CST Biology Position ID: Temple -BIOLOGY -RAP [#30052] Position Title: Position Location: Philadelphia, Pennsylvania 19122, United States of America [map ] Subject Area: Biology
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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 . JOB DESCRIPTION AND POSITION
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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a bachelor of pharmacy degree and a Ph.D. degree in pharmacy will be preferred. They should have a strong quantitative and qualitative background; experience in analysing epidemiological data using R
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Professor (Research Track) in the field of T cell immunology, Cancer Biology and Cancer Immunotherapy. The suitable person will have extensive experience in the field of immunology with a special focus on
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not
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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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natural sciences/horticulture. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface Expertise in the field of data