34 phd-in-computational-neuroscience-"Multiple" Fellowship positions at Monash University
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Research Fellow in Neuroscience Job No.: 681675 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: Level A plus 17% super Research Fellow
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Research Fellow - Neuroscience Job No.: 682196 Location: The Alfred Campus Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $83,280 - $113,025 p.a. Level A plus 17
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outputs, publications, and presentations. In this role, you will design research frameworks, develop qualitative survey methodologies, and engage with media and social platforms to promote the program. You
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within the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research Group , this position offers the opportunity to lead all aspects of trial preparation and execution, including
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sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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addiction research environment Work alongside leading experts in neuroscience-informed treatment innovation The Opportunity The Clinical and Social Research (CSR) team at Turning Point investigates
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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, collaborative community Be surrounded by extraordinary ideas - and the people who discover them Multiple roles, evaluation, quantitative research experience The Opportunity The Institute for Safety Compensation
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data