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interpreting brain imaging data (e.g., FSL, SPM, AFNI) - Demonstrated ability to complete projects, as evidenced by first-author publications - Excellent organizational, interpersonal, and communication skills
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integrates molecular, imaging, and neurophysiological approaches to understand neurodevelopmental disorders, with particular focus on perineuronal nets and their role in seizure susceptibility. This position
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) milling. This programme will involve state-of-the-art imaging approaches to visualise molecular details of the intricate relationships between chromatin and nuclear condensates. The successful candidate
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detection and image-guided surgery for pancreatic ductal adenocarcinoma (PDAC). Our laboratory develops biocompatible, near-infrared (NIR) chemiluminescent chitosan-based nanoparticles (CNPs). By combining
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. Additionally, they will help curate and organize datasets, run evaluations, and document findings. Provide hands-on experience with applied computer vision systems, including working with image and video data
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This full-time research assistant will run behavioral and brain imaging data collection supporting Dr. Anne Berry's R01 project "Upregulated norepinephrine synthesis capacity in aging
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 4 hours ago
, image analytics, machine learning, transcriptomics, or molecular phenotyping. Experience in the biological or agricultural sciences. For more information about the position please contact Dr Emi Tanaka
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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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-time research experience since their PhD completion. We are looking for candidates with a PhD and a strong background in PET imaging, particularly with demonstrated expertise in the processing and
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization