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conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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Published Monday 26 May 2025 Deadline Monday 16 Jun 2025 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 2.901 - € 3..707 Employment 1 fte - 1 fte Introduction
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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national or international funding to advance science in line with your research vision Participate in teaching activities, including the co-supervision of MSc and PhD student projects Have leadership skills
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compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in the heart of the city of
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan