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treads, flooring, furniture, shelving and cabinets. Use appropriate carpentry and woodworking tools to complete assignments; use all appropriate safety precautions and protective equipment when using
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Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
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, using technology, software, databases, and online tools to perform work. Excellent technological and analytical skills, including an advanced knowledge of Excel, Google Applications, Tableau, database
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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texture material to walls and ceilings using texture machines, pumps and hand tools. Install, work from, and remove scaffolding, stages, planks, ladders, jacks, spider staging and other work platforms
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installation skills.- Safe operation of hand tools, power tools, rigging equipment.- Good written and verbal communications skills, good interpersonal skills. - Basic knowledge/familiarity with computer
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 17 days ago
this context, the PhD aims to develop integrated approaches to maritime spatial planning that can reconcile these sometimes-conflicting objectives. It will focus on designing decision-support tools capable
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, including CNC and manual machine tools, hand tools and specialist equipment. Keeping accurate records and drawings; analysing and interpreting project requirements, iterating design/implementation as required
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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams. Support advanced modeling approaches including network analysis, multivariate methods, machine learning