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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
. The candidate will join ongoing projects in our team and perform mathematical/computational modeling. The topics include (1) constructing deep learning-based models to predict the molecular microenvironments
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). The applicant’s experience must be related to the tasks to be conducted, to the job description herein or to: · Training of multimodal models based on deep learning and GPU computing. · Evaluation and deployment
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collaboratively with the Community Engagement unit/DICE. · Coordinating partner presentations with faculty and program directors to ensure alignment with academic learning goals. Data, Evaluation & Reporting
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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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experience and evidence against the published criteria. Ideal candidate: The successful candidate will have a PhD (awarded or expected within 6 months) in Computer Science, AI, Machine Learning, Computational
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/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design
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environment within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging foundational
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deep learning has led to the emergence of Transformers-type networks whose performance has revolutionized the field. These networks are the basis of next-generation image processing models (such as
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or computational protein design. In particular, you will have: A PhD, or near completion of a PhD, in machine learning, structural bioinformatics, computational biology, computer science or a closely related