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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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and remote sensing, Agricultural Intelligence related to degraded soil is highly desirable. Potential research areas will address current issues related to mine and marginal soil rehabilitation, and
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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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publishing. Strong sense of integrity and a commitment to a diverse and inclusive research community. Ability to make prompt independent evaluations and decisions. Able to manage multiple priorities
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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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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
motivation letter in English iii) names and contacts of 2 referees For any inquiry about the call, please feel free to contact Dr Francesco Iorio, Francesco.iorio [at] fht.org (this email address should not be
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-informatic / Geo-statistics/ Numerical modeling Data analysis Ore mineralogy Geographical information systems / remote sensing Application and Selection Required documents: Curriculum Vitae, Application letter
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that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use mul -source remotely sensed data. The research aims to improve our
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employees feel valued, supported and empowered to reach their professional potential. Enjoy lots of benefits: Financial incentives: Monthly family, child and non-resident allowances, annual salary review