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soil moisture, temperature, and subsurface heterogeneity strongly influence the quality of geophysical observations. Improving our ability to image and monitor the subsurface is essential
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directions or modeling that could include dynamic systems modeling, spatial environmental modeling, knowledge models and knowledge representation, or a focus on alignment or AI safety related to the use of AI
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Department This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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dynamics, or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made Strong written and verbal communication skills in English Experience
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the present project, magnonics is of interest for engineering static and dynamic magnetic fields, with potential applications in magnetic resonance involving individual spins. The position aims to develop
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although not be limited to Target Trial Emulation and Mendelian randomisation. You will be part of a growing and dynamic team which is involved in many aspects of data science, epidemiology, statistics
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communication, and functional adaptation across a wide range of disease-relevant systems. The successful candidate will use enhanced-sampling molecular dynamics, coarse-grained elastic network models, Markov
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assistant postdoctoral to Prof. Thomas Kühtreiber) in the field of modern archaeology. The position is closely linked to the ongoing research programmes ‘Dynamics in Rural Areas’ and ‘Identities and Material