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Field
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Staff Job Description Qualifications Required Education: PhD in Biochemistry or related field Preferred Experience: Mass spectrometry data acquisition and analysis NMR data acquisition and analysis
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(including computer science, machine learning or deep learning). Activities Description of the research activities : The post-doctoral researcher will develop the research actions defined in his/her research
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, excluding time associated with family planning, military service, illness or other life-changing events. Candidates must have completed all PhD requirements by the commencement of employment. Brookhaven
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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machine learning techniques. A team player who enjoys coaching PhD and Master's students and working in a dynamic, interdisciplinary team. A proven ability to manage complex projects to completion
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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skills. Aware of the ethical issues around working with Big Data. Desirable criteria Experience applying advanced statistical or machine learning methods to complex datasets. Evidence of involvement in
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy