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Field
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Knowledge in structural materials, experimental techniques, numerical modelling, mechanical testing, and data analysis will be valued. Specific Requirements Hold a PhD with a thesis completed in a PhD
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contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in silico work, including sequence design, data analysis, experimental planning, and
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data
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. Engage in ongoing and active research. 2. Participate and contribute in the activities of the Analysis & PDE unit and OIST math group. Qualifications: (Required) PhD in Mathematics. Report to: Professor
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and service. Click here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information We are seeking a candidate with expertise in targeted and
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: Qualifications required: The candidate must have a PhD's degree in Biophysics, Biology, Bioengineering or equivalent. Expertise in image/data analysis and coding is required (Python, Image J). Experience in cell
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-based simulation and empirical analysis projects, develop and run virtual experiments, analyze existing social media data, document results, write papers with Dr. Carley and possibly relevant PhD students
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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, UV spectroscopy, BCA/Bradford assays, etc. Actively contributing to critical data analysis, protocol optimization, and the writing of scientific reports. Supporting the valorization of research