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PostdoctoralResearcher in Radio Frequency Fingerprinting using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine
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using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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. About you a Doctorate or PhD in a relevant field and demonstrated experience in vision science research demonstrated understanding of the subject matter within the relevant discipline experience
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collaborators to ensure methods are aligned with pathological interpretation and clinical workflows contribute to the supervision and mentoring of PhD and Honours students within the group prepare high-quality
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Base Salary $117,936 - $125,896 + 17% superannuation About the opportunity The Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering is seeking a Postdoctoral
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concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory prototyping and on-sky testing perform detailed