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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 hours ago
management and technical support Mentorship and training of junior researchers Professional development and contribution to the research community Qualifications/Requirements of Position PhD in Physiology
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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metamaterial, to better control the manufacturing process. The end result will be prototype metamaterials that can be manufactured to mitigate for the effect of sub-optimal and variable feedstock properties and
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11 37077 Göttingen Germany Web: https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during
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through various practical application-oriented projects, generating worldwide benefits to mankind. COMP envisions that it will become the influential icon in smart computing internationally. COMP has been
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . To develop novel inertial microfluidics and impedance-based cell sorter. To develop novel label-free CQAs based
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for