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Field
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, quantitative genetics and software development to address real-world challenges in agriculture. Working closely with CGIAR and NARES partners through collaborative visits, workshops and training activities, you
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biology analysis, bioimaging with advanced image analysis, plant transformation, AnalyzER software for analysis of cellular structures) • Experience with statistical analysis • Excellent team
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independent observations and diagnose performance issues. Develop and maintain scientific software for modeling, assimilation, analysis, visualization, and reproducible computational workflows. Collaborate
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English. Advanced proficiency in office software tools (Excel, Word, PowerPoint, etc.). Desirable qualifications Experience in preclinical models of therapies targeting human cells, tumour cells
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priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant
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have knowledge of software development principles, and machine learning, including deep learning experience, as well as a strong background in research processes, including report writing, and producing
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design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly desirable. Experience in electronic
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, developing robust software prototypes, executing rigorous performance evaluations, and disseminating findings through high-impact academic publications. About You Candidates must hold an undergraduate and/or
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV