13 computational-systems-biology positions at University of New South Wales in Australia
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the forefront of structural biology research, offering exciting opportunities for computing systems officers. Researchers here work with cutting-edge methods, including Deep Learning techniques such as protein
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Scientist will provide management, technical and general support for the Structural Biology Facility in developing, providing access to high quality research computational infrastructure, training and
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publication. The role of Senior Research Associate will report to the Senior Lecturer and has no direct reports. Skills Required: A PhD in Bioinformatics, Computer Science, Molecular Biology or Virology with
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to; chromogenic IHC, immunofluorescence and spatial proteomics. Experience with automated Bond RX immunostaining system highly desirable. Working with a range of computer systems and applications, including
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Sciences at UNSW which is dedicated to advancing the understanding and treatment of cancer. The Centre applies basic, translational and clinical approaches to understanding cancer biology through patient
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both independently and as part of a team. Demonstrated experience supporting and contributing to projects and initiatives. Highly proficient computer literacy with excellent skills in Microsoft Office
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participants, data quality checking and clinical evaluation. The Research Assistant will report to the Tobacco Research Group, Program lead, Associate Professor and has no direct reports. Skills Required
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, genetics, molecular biology, microbiology, environmental microbiology, medical microbiology and immunology. The Postdoctoral Fellow (Level A) position is available to work on the mechanisms of non-coding RNA
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. Assistance in additional research, in particular protein structure and biology research and use of software such as AlphaFold, is also required. The role reports to the Scientia Professor and has no direct
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Sciences at UNSW which is dedicated to advancing the understanding and treatment of cancer. The Centre applies basic, translational and clinical approaches to understanding cancer biology through patient