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The successful candidate will join the CMB&CO group at ITA, currently composed of two professors, five researchers, two postdoctoral fellows, four PhD candidates, and two master’s students. The candidate will be
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extensive cell tracking studies with massive parallel sequencing and molecular manipulations to gain insights into regulatory mechanisms whose appropriate targeting could impose regenerative traits to mammals
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internationally recognised research develop, lead, and participate in teaching at first, second and third cycle level supervise PhD students and postdoctoral researchers collaborate with other research groups
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(Programming Language), R Programming Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: PhD in Genomics or a related discipline. Familiarity
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Research theme: Nuclear thermal-hydraulics How to apply:uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD is fully funded, home students and students with settled status are eligible
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experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to understand the inner workings of loop, TAD, subTAD, and trans
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. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital-based affiliates as well as the city and county of Denver. Our work is
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the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using