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Field
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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background in the fields of ecology, remote sensing with specific expertise or interests in plant phenology change or a related field with excellent English language skills. Position Overview In this position
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Enjoy lots of employee benefits: Financial
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modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. We have a team of researchers working at field, farm and landscape scales. The researcher for farm
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: Extensive experience operating a LabSpec 4 NIR spectrometer and Unscrambler software. Salary: Compensation will be commensurate based on the selected candidate’s education and experience. Hybrid/Remote Work
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transformations. Collaborating with other group members, you will evaluate the model simulations against satellite remote sensing and balloon-borne observations and study their sensitivity to a changing climate
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, collaboration and wellbeing. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways
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digital forestry, genetics, ecology, remote sensing, data science, entomology, wildlife and economics. The postdoc will have opportunities to interact and collaborate with other postdocs and graduate
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wasting of livestock. In the course of infection trypanosomes moderate their parasitaemia by quorum sensing to generate replication arrested ‘stumpy forms’, which prevent rapid host death and are pre