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are encouraged to apply. Where to apply Website https://www.academictransfer.com/en/jobs/354423/postdoc-project-in-vitro-models… Requirements Specific Requirements Qualifications: PhD degree in neuroscience
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). The PDRA EEO Carbon Allocation Modelling will work on the LEMONTREE (Land Ecosystem Models based On New Theory, observations and Experiments) project and will be part of a team of scientists developing
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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biological models, an international consortium of leading colorectal cancer scientists, clinicians and mathematicians will explore the mechanisms of evolved adaptive response to therapeutic selective pressures
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to investigate the parameters that control the triggering, speed and geometry of magmatic intrusion events at mid-ocean ridges, using dynamical models constrained with seismo-geodetic observations
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able to accurately quantify the evolution of surface and groundwater storage. For a long time, the main tools for providing such information for planning purposes have been hydrological models
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Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
. Description: The Hydrological Sciences Laboratory at NASA‘s Goddard Space Flight Center is seeking a post-doc candidate to conduct research on the integration of remote sensing data and models to improve