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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
the challenging food security/sustainable agriculture, water and environmental goal in Africa, with a special focus on developing actionable and impactful methods/tools that use multi-source remotely sensed data
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modeling or other quantitative techniques (data synthesis and assimilation, remote sensing) are also welcomed. Selected candidate will be requested to develop an innovative research activity, particularly in
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
presenting advances and results to Open Targets meetings and Integration days. Job requirements Essential requirements Hands-on experience in data science, preferably life sciences or medicine. A PhD degree
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• Geographical information systems / remote sensing Required documents include: • Application letter, • Curriculum Vitae, • Description of the most significant scientific achievements, • List
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. Collaboration with Publications Leadership and Management. May manage consultant editors (0-20). Qualifications: Education: A PhD in physics, astrophysics, applied physics, materials research, chemistry or a
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, remote and proximal sensing, and process-based modelling; and studying interactions between humans and landscapes over various spatial and temporal scales, e.g., by linking archaeological findings with