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Field
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management/administration processes Desirable Experience working with Drosophila, live calcium imaging, Matlab/Python programming and/or behaviour A good publication record in neuroscience. Further details
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
University, University of Queensland, and University of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 17 hours ago
of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD within six months of the appointment commencement) and
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models and metrics for fairness in decentralized environments. Develop prototype systems and perform experiments on real-world datasets and platforms. Publish research outcomes in high-quality venues and
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you You will have: PhD in developmental biology/biophysics/cell biology or in the final stages of PhD submission. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in
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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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specialist mass spectrometry instrumentation, including high-resolution Orbitrap platforms (QExactive, Fusion Lumos), triple quadrupole LC-MS/MS systems, and surface and imaging MS technologies (e.g. AP-MALDI
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/ Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and