2,276 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions
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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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on behavioural data. In addition to research, you will contribute to teaching (20%), providing opportunities for professional development. Your qualities We are looking for an enthusiastic new colleague who meets
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Duke University Department of Obstetrics and Gynecology has an immediate opening for a Postdoctoral Associate in the Division of Reproductive Sciences. More information about this division is located
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sensing and autonomous systems into geospatial analysis? Do you thrive in interdisciplinary environments and enjoy combining data-driven research with hands-on fieldwork — whether on boats, underwater
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includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the advertised position involves studies of specific
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in Sydney, Australia.You will be working with A/Prof Benjamin Pope and A/Prof Christian Schwab on a full-time, fixed term period for 3 years. This role will develop and apply new data-driven approaches
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how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
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proposals; will conduct data analysis and collaborate on reporting findings and discoveries in written and verbal form; and will manage, maintain and provide technical expertise for Benoit lab equipment
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. Must have excellent verbal and written communication skills, at least one first-author publication, and appropriate experience. Experience working with quantitative and/or social network data is
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barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis