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Field
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Education PhD in Biology, Molecular Biology, Immunology or closely related field from an accredited University (based on funding restrictions degree may need to have been conferred within a set period
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across four research groups: Advanced Materials and Surface Science Atomic Physics and Optical Science Biophysics and Bio-analytical Technology Chemical Dynamics and Spectroscopy The institute accommodates
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video, or click here to open video) About the position We are looking for a PhD research fellow within anode materials and anode-electrolyte interphase optimization for sodium ion battery. Are you
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, or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields. Experience in robotics software development using ROS/ROS2. Experience with robotic
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of the structure and properties of inorganic materials. The successful candidate should have a background in physics, and hold a PhD in solid state physics, materials science, or similar with a preferred expertise
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excellence. Assisting in the mentorship of junior analytical staff members and graduate students QUALIFICATIONS A PhD in computational biology, bioinformatics, statistics, computer science (Machine Learning
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funding applications and collaborate on joint initiatives with colleagues and partners. Publish research outputs and prepare high-quality reports, scientific articles, and training materials. Support
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one year with a possibility of renewal based on performance. Basic Qualifications Candidates must have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will
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approaches to process and build new materials, and to better understand how enzymes work. How to apply Applications will be reviewed on a rolling basis. In your cover letter, please clearly explain your fit
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A, Step 6 - PhD awarded rate) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Full-time (35 hours per week), fixed-term position for 12 months - Location: Faculty