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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Control and Automation at inspire AG offers the following postdoctoral position as part of
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 19 hours ago
Apply now Job no:541789 Work type:Full Time Location:Canberra, ACT Categories:Post Doctoral Research Associate Postdoctoral Fellow, UNSW Nuclear Innovation Centre (UNIC), Canberra Employment type
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at University of California San Diego More Jobs from This Employer https://main.hercjobs.org/jobs/22454185/postdoctoral-scholar Return to Search Results
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research Experience with machine learning, deep learning, or multimodal data analysis Experience conducting human-subject research and IRB-compliant studies Experience working with healthcare systems
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We are seeking an enthusiastic and committed postdoctoral research associate to join the Arthritis UK Centre of Excellence in Genetics and Genomics, based at the University of Manchester. You will
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of machine learning techniques, programming and coding for data analysis, biomarker discovery, and collaboration with clinicians and students. Additionally, the candidate will be responsible for grant writing
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, selectivity and phenotype mechanisms directly in primary human cells and employ machine learning methods for data analysis. This includes activity-based profiling, global- and phosphoproteomics and phenotype
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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” at the Faculty of Humanities. The position is located at an office at the management of the DLA and develops the field of exploring and analyzing analogue archive collections with the help of machine learning