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Field
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically, the appointed research fellow
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treatment strategies for people with movement disorders. We are a team of basic and computational neuroscientists, movement disorder clinicians, neuroimaging experts and computer scientists. We collaborate
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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directors of clinical microbiology or public health laboratories. The content and extent of training is tailored to each individual entering the program according to their unique background and interests
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accommodates nearly 200 visiting scientists, postdoctoral associates, students, and research assistants, including approximately 90 master's and Ph.D. students. IAMS is an active participant in the Taiwan
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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scientists and engineers who have excelled in their academic and professional subject areas and show promise as future science leaders. The program offers highly sought-after fellowships in various research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
development in plant molecular biology, genomics, and crop biotechnology. The Person We are seeking a highly motivated postdoctoral plant scientist with a strong background in plant molecular biology
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approaches for resistome prediction or biomarker discovery is a plus. Why Join Us? Access to cutting-edge technologies (mass spectrometry, next-gen sequencing, high-performance computing). Work on high-impact