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Field
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
. Contribute on the group’s activities in processing of sustainable materials, (bio)polymer composites and their applications. Participate in the supervision of undergraduate, master’s, and doctoral students
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initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing on various aspects along the battery value chain, ranging from synthesis, cell assembly, characterization
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for the transport sector, KTH join forces with a coordinated initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing on various aspects along the battery value
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will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Formalities and salary range
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resources, cases, and structured business model guidance. Particular attention will be given to responsible, human centered AI principles, pedagogical quality, GDPR compliance, and the effective integration
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situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant
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notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant
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notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant
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understanding and representation learning; Self-supervised and data-efficient learning; Transfer learning and knowledge reuse across tasks; Structured and compositional learning; Vision-language and multimodal