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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 2 days ago
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Python programming and experience with a major deep-learning framework such as PyTorch or TensorFlow; experience with MATLAB, C++, GPU computing, or parallel processing is advantageous. Experience with 3D
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide data science and AI/ML modelling support for strategic healthcare AI projects, including
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advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms
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: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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parallel, methods for targeted metabolomics/lipidomics need to be developed and validated for groups of relevant metabolites for specific clinical conditions, to enable discovery of innovative