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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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lead the experimental programme for the development and testing of the bioelectrochemical lithium recovery system. You will work closely with the academic research team and industrial partners across
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, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all
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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods
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lead the experimental programme for the development and testing of the bioelectrochemical lithium recovery system. You will work closely with the academic research team and industrial partners across
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of multiplex cytometry data analysis programs including OMIQ Experience in statistical programming with R and/or Python. Knowledge of R/Python spatial transcriptomics data analysis packages such as Seurat/Giotto
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time. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE
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: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
collaboration agreement between ANU and the ACT Government addressing wellbeing in the ACT. This program of research is broadly focused on enabling evidence-based policy decision-making in the ACT, particularly
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. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office