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Recognition and Classification is a project focused on the development of innovative approaches for real-time recognition and classification of construction and demolition waste, aiming to significantly
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. While the role of such transitions in structural self-assembly is appreciated, their fundamental importance in generating "generalized motion" - the transfer of mass, energy, or information that governs
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. ; Applications with a structured curriculum vitae, documents on qualifications, an overview of previous experience, a list of main scientific works and an idea of the focus and goals
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analysis of complex biological systems. Collaborate with core facilities and international partners to co-develop AI-enabled research workflow and instrumentation. Work closely with leading industry partners
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of qualification documents; Applicant who is not an employee of FSS MU: copies of evidence of formal qualifications, a summary of publishing activities for the last five years in the structure used by the RIV, a
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composition and structure (homopolymers; random, block, grafted and branched copolymers; polymeric brushes) by the methods of free-radical polymerization (in solution, suspension, and emulsion), controlled
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. Required Documents filled-in application form structured CV teaching activities overview education credentials, proof of academic degrees and ranks motivation letter Job offer code: 202604-L1-FF-KTV-025
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competencies Required Documents filled-in application form structured CV list of scientific and publication activity education credentials, proof of academic degrees and ranks a motivation letter with an
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Documents filled-in application form structured CV list of scientific and publication activity education credentials, proof of academic degrees and ranks a motivation letter with an emphasis on professional
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in a unique simulation centre, professional growth and the possibility of continuous education, benefits. Applications together with a structured CV, an overview of scientific and publishing activities