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command, both spoken and written). Desirable competencies: • Interest in vibration control, structural modelling using modern computer software, and basic knowledge of laboratory equipment used in
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Assistant for Research and Teaching (F/M) – 1 FTE (Division of Intelligent Decision Support Systems)
Linux system administration and management, specialization in computer-aided decision making, decision analysis, multi-criteria optimization, or intelligent decision support systems, scientific experience
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, specialization in the fields of combinatorial optimization, bioinformatics, and/or distributed computer systems, scientific experience confirmed by publications is welcome, experience in acquiring and/or carrying
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Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT | Poland | about 2 months ago
, the Managing Entity, or other entities authorized by law. Data Processors: Entities performing processing-related tasks under the Controller’s mandate may access your data. Automated Decision-Making: The WUT
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ability to work in a team and systematically document results computer skills, including the Microsoft Office suite Specific Requirements Documents required: Application Personal questionnaire
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scientific conferences Laboratory experience acquired in other scientific institutions Computer skills, including Microsoft Office Specific Requirements Documents required: Cover letter Personal questionnaire
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Rural Development, as well as participation in national conferences and consultations concerning the CAP. Proficiency in using computer hardware and knowledge of basic office software Specific
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building relationships with the socio-economic environment Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=f6b6b1d9e… Requirements Research FieldPsychological
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the discipline of physical sciences (or similar); Experience in computer simulations or programming is desirable. Specific Requirements Specific requirements: The candidate must be a student of full-time first or
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries