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Experience1 - 4 Additional Information Eligibility criteria The position requires a PhD in Earth sciences, applied mathematics, or a related field, experience with topological analysis or data science, and
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will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD
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other methods. The successful candidate will be involved in the supervision of a PhD student during the duration of the position and will have significant of opportunities for career development. Where
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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-ecological modeling (24 months, 100%), you will fill a central position to reach important objectives of the project. Equal opportunity is an important part of our personnel policy. We would therefore strongly
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for human and mouse neural organoids - Present and discuss data within the Cell-ID consortium (PEPR) - Opportunities to supervize students The position is available within the “Neurodevelopment in mammals
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 days ago
trigger neuronal stress and degeneration during aging. By integrating data across in vitro and in vivo models, we aim to uncover molecular mechanisms that can lead to novel avenues for interventions
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ-Neurosurgery-Meb Overview
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in New York, across the nation, and around the world. Position Function We seek a Postdoctoral Associate with experience in statistical modeling, who is also interested in or has experience with
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of cells. These data will then be used to validate our state-of-the-art techniques to predict the arrangements of cells in biological tissues, building on the CONDOR simulation technique (Hague, J. P. et al