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Field
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in the mentorship of graduate and undergraduate students, providing guidance on experimental techniques, data analysis, and project development. Contribute to grant writing, including assisting in
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graft compatibility in allotetraploid rootstocks. Develop pipelines and workflows for genomic data analysis, integrating phenotypic and molecular datasets. Mentor and supervise graduate and visiting
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Independently conducts research including, but not limited to, constructing hypotheses, design and planning of research studies, data management, model development, conducting experiments or assessments, analysis
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datasets and remote sensing products (e.g., satellite-derived indices, geospatial data analysis) is highly desirable. The selected candidate will also provide support (30%) to a second project focusing of
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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and analysis of monitoring data, as well as identification, prioritisation and execution of maintenance need to be enhanced. To this end, the increasing amounts of collected data from operations
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properties. Job Requirements REQUIRED: Ph.D. in peptide chemistry, organic chemistry, chemical biology, or related fields; demonstrated experience in advanced peptide synthesis; excellent quantitative analysis
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quantitative data or image analysis. PREFERRED: Experience with high-content imaging, automated screening platforms, or computational image analysis pipelines. 7/14/2026
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experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot-scale trials involving membrane and/or food processing technologies, experience
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. Collaborate with an interdisciplinary group of universities, research organisations, system operators, energy companies, technology providers, and data centre operators. Participate in data collection, analysis