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LT0004/2025-L (Human Frontier Science Program)", on plant ümvelt (sensing, detecting and decision-making) in multitrophic interactions. The fellowship is externally-funded for three years and will also
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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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sustaining a distinguished and high-impact research program that is original, innovative and internationally recognised Achieving and sustaining national and international research excellence Providing
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one another; and delivering world-class science, technology and land management. Research Project: The fellow will contribute their PhD-level social science research skills to understand how project
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high-impact research program Achieving and sustaining national and international research excellence Providing strategic research leadership Driving major research funding initiatives Building research
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to research training. Responsibilities will include: Leading an innovative and impactful research program Strengthening national profile and emerging global presence Pursuing and managing external research
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two referees), a statement of research interests and achievements. Selection Criteria: A PhD in analytical biochemistry, biosensors, nanobiotechnology or equivalent qualifications; Ability to undertake
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to work in the field of structural characterization of advanced materials using ex situ and in situ x-ray scattering and spectroscopy techniques. Required Qualifications PhD in Physics, Chemistry, or
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competency in advanced materials, chemistry, computational science, neutron scattering, nuclear physics, and plasma and fusion energy sciences. Targeted Research Directions: Candidates should demonstrate
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relevant for the research program outlined above with a strong background in nuclear structure physics of exotic nuclei Expertise in scientific computing, including proficiency in C++ or Python programming