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Field
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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processing influence the resulting quantitative data. What you’ll do Generate systematic proteomic datasets as part of a collaborative team effort Develop and apply statistical and quantitative approaches
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biological systems, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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will hold a PhD/DPhil (or be near completion) in Bioinformatics, Statistics, Mathematics, Computational Biology, or a closely related discipline, with sufficient specialist knowledge to contribute
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mental wellbeing among staff members. Please visit our website to find out more about the Department. About you You will hold a PhD/DPhil (or be near completion) in Bioinformatics, Statistics, Mathematics
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Science, or a related field. No experience required. Preferred Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology
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does not permit remote work. This is a term appointment funded for one year from the date of hire with an excellent chance for multiple years of renewal based upon mutual agreement. Requirements A PhD in
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations. The research team collaborates