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the fishing and fishing gear industries. Key Responsibilities The project involves developing and implementing deep learning models for species detection, classification, and length estimation from EM video
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, you will drive the development of an integrated AI system for aerial robots. Our work departs from conventional mapping and exhaustive planning by fusing end-to-end deep learning for localization
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postulate, is due to three interconnected challenges and conditions a) TCR diversity, b) limited quality and quantity of data biased towards a few well-studied epitopes and c) lack of Deep Learning (DL) tools
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spearhead the development of next-generation data-driven wind farm flow models – Combining deep learning and high-fidelity simulations (CFD, meso-scale, and meso-scale-LES). You’ll then apply these cutting
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Bioinformatics, Computer Science or similar. In particular, we expect the candidate to have expertise on deep learning programming on generative models, language models and/or inverse folding models. In addition
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or similar. In particular, we expect the candidate to have expertise on deep learning programming on generative models, language models and/or inverse folding models. In addition, a solid background on protein
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similar degree with an academic level equivalent to a two-year master's degree. Experience with digital signal and image processing, deep learning, and programming is desirable. Similarly, knowledge