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solid mechanics and fluid mechanics. Proven hands-on experience with code development for computational fluid dynamics or computational solid mechanics using the finite element method. Demonstrable
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as
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disclosure of the evaluation results, candidates have 10 working days to comment, if they so wish, under the terms of the Administrative Procedure Code (CPA). The final decision will be issued within a maximum
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from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability
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underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender
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from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability
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networking Application Requirements You must submit a comprehensive research proposal developed in collaboration with a Lincoln-based supervisor. The proposal should constitute a new and discrete body of work
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realistic settings referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract
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://devhabeasdata.fearp.usp.br/cemepi.html Street Avenida Bandeirantes Postal Code 14040905 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial