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Field
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description Background: Living microorganisms could transform how we sense and store information, replacing single-use electronics with inherently biodegradable systems that track environmental conditions over
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. Information about the Department can be obtained at http://www.dase.hku.hk/ . Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related
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of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students/scholarships
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strong analytical and problem-solving skills and enjoy combining experimental observations with scientific interpretation. You have a strong academic track record, demonstrated by excellent study results
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potentials for MD simulations. You have a strong academic track record, as evident from your Master's thesis and relevant coursework. You have excellent written and verbal communication skills in English
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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of single-particle tracking and live-cell imaging data obtained by our experimental collaborators in Paris, Copenhagen and Taipei. Several distinct projects are available, and applicants are encouraged
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for History is the home of a vibrant community of researchers and lecturers with outstanding track records and successful in attracting national and international research grants. Under the label ‘Global
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at a global scale, with a special focus on the privacy risks of LM-based architectures. Where to apply Website https://networks.imdea.org/job/phd-position-in-cross-platform-tracking-and-priv
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isolation; electron microscopy and nanoparticle tracking analysis for vesicle characterization; RNA isolation and PCR; SDS-PAGE-based protein analysis; cell culture and immunostimulation experiments; and flow