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Field
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this project will be to study the capabilities of LDMX to handle pile-up (multiple electrons hitting the target at the same time) in more detail. This will mainly be based on simulation-studies of potential
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, Tableau, Python and Alteryx. Following industry standards, individual utilizes multiple sources of integrated data and plays a key role in reporting conclusions to leadership regarding metrics, goals
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Canberra has multiple locations in the Nation’s Capital. UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours
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Engineering, Software Engineering, or a closely related discipline. 1 year of experience with multiple programming languages (Python, Java, C++, SQL), deep learning frameworks (TensorFlow, PyTorch), and data
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capable of working independently and in a team, as well as using your initiative to manage multiple projects and prioritise workloads. As the successful candidate, you will also demonstrate: Completion
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user-centered design methods. Strong communication and collaboration skills, especially in community-engaged or interdisciplinary settings. Ability to organize and manage multiple tasks with attention
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preparation, dilutions, chemical handling) Computer proficiency, with working experience in Python and/or R preferred Demonstrated interest in pediatric translational and basic science Appointees in
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general programming languages, such as R or Python, leveraging advanced expertise for data processing and visualization. Demonstrate proficiency with simulation model development and parameterization
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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in coding courses across the difficult transition from block-based systems (such as Scratch) to text-based systems (such as Python).Pytch is being used in secondary schools nationally and