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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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address. After the e-application deadline, you will receive information about the next steps. If you are unsure, please contact the FF MU Personnel Office: Mgr. Lída Oplatková, e-mail: oplatkova
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methods. Ability to compile and analyze data using standard statistical methods. UMass Chan offers strong support and mentoring, a collaborative research environment, a competitive salary with benefits, and
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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: £37,174 - £45,413 Fixed-term: The funds for this post are available until 10 June 2028 in the first instance. To apply online for this vacancy and to view further information about the role, please click
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information about the role, please click the 'Apply' button above. To apply for this vacancy, you need upload two (2) CVs (Curriculum Vitae) in different formats: a Narrative CV and your standard CV (full