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future of our employees. From robust health benefits to generous retirement contributions and an array of family-friendly programs, Duke invests in every member of our community. Learn more at: https
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activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with computer vision is a plus. I am proficient in Python and am
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 11 days ago
Research, 2024, 52(12):1-19. https://doi.org/10.1177/03000605241302304 Masumshah, R., Eslahchi, C. DPSP: a multimodal deep learning framework for polypharmacy side effects prediction, Bioinformatics
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Successful candidates should have knowledge of cognitive neuroscience, Computational neuroscience, including but not limited to deep learning, Neuroimaging (MRI, EEG, MEG, ultrasound or optical imaging
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financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
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, or related background. Strong background in machine learning, computer vision, and deep learning. Knowledge of transformer architectures and foundation models. Experience with few-shot learning, self
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of
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-fellow-in-deep-learning-for-subsurface-imaging Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290391/postdoctoral-research-fel… Requirements Research FieldComputer scienceEducation
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or information and communication technology, 2) experience in teaching, 3) experience in machine learning, deep learning, particularly in the application of biomedical data processing, 4) experience in processing