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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
bioinformatics or molecular biology position. We're looking for someone genuinely excited by the intersection of structural/molecular biology, physics-based simulation, and machine learning/deep learning – a
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or triggers for the ATLAS experiment would be highly desirable, as would experience with deep learning and concurrent programming The post will work in the first instance the High Energy Physics Group
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mathematical models to address fundamental questions in biology. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep
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Apply Now How to Apply Applicants are required to submit their applications electronically by visiting https://apply.interfolio.com/191044 and uploading the following: cover letter curriculum vitae
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& Economic Research (WSER), part of Wageningen University & Research, one of Europe's leading institutes for applied socioeconomic research in agriculture and food systems. In this role, you will acquire and
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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: Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., PyTorch, Tensorflow, JAX, HuggingFace). Experience with RL and post-training methods (PPO, GRPO, DPO, reward modeling, RLHF
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relevant to the professional obligations of student assessment and evaluation, grading and reporting. Examination of effective strategies of assessment for, as, and of learning is at the core of this course
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on lncRNA structure. These experimental constraints will then be used to guide deep learning-assisted RNA 3D structure prediction tools, in order to generate ensembles of structural models. Clustering and
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. Demonstrated success in developing innovative programs, strengthening teaching and learning outcomes, and expanding industry partnerships. Deep knowledge of at least one of the School's disciplines, with strong