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computational workflows and data visualization strategies to support biological discovery. · Collaborate closely with laboratory scientists to integrate computational analyses with experimental research
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scientists Contribute to study design, analytic plans, and grant development Qualifications PhD, ScD, or equivalent doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related
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. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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modelling or simulation would be an advantage. Strong analytical and data visualisation skills, with the ability to interpret and present complex technical results clearly. Ability to work independently
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molecular, physiological, biochemical and ecological approaches across laboratory, glasshouse and field settings. Design, establish and deliver field and laboratory experiments, applying advanced analytical
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equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
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system. Job Requirements: Possess a PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Solid background in
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and data analysis. Strong analytical skills and ability to work independently. Good communication and teamwork skills.
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contributions. Requirements: PhD in Physics, Photonics, Electrical Engineering, Materials Science, Nanotechnology, or a related discipline. Strong research background in integrated photonics, nanophotonics