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PhD Positions in Private, Secure and Trustworthy Machine Learning (m/f/d) - Groups Boenisch & Dzi...
Association‘s success and global impact. Promoting young researchers is a major priority for the Helmholtz Association. Its qualification schemes for young researchers are geared mainly towards PhD students
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. UKF jobticket UKF Your challenges: develop and optimize high-throughput analysis pipelines integrate complex RNAseq, Whole Exome Sequencing and TCR repertoire high-throughput data apply machine learning
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learning engineers. Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient
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of the second year after a trainee joins the team. Job Duties Designs and implements novel computational algorithms for data analysis, feature extraction, and predictive modeling. Applies machine learning
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approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 13 days ago
well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based
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devoted mentoring customized to her/his career goals, and acquire research skills that will be invaluable in their future pursuit of academic, government, or industrial positions. Potential research
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seven computer scientists. Candidates must have a PhD in Biostatistics or Statistics and a record of peer-reviewed publications showing evidence of (for Instructor and Assistant Member, a potential of
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on rapid development of editing strategies for rare patient-specific mutations. Optimize lead protein candidates by structure-guided design and high-throughput screening. Apply new machine learning
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computational biology, statistical modeling, machine learning, and artificial intelligence method development with a strong track-record of research in using data-driven approaches to study the molecular and