{"id":11951,"date":"2023-12-07T15:49:42","date_gmt":"2023-12-07T14:49:42","guid":{"rendered":"https:\/\/www.ipcf.cnr.it\/?p=11951"},"modified":"2023-12-15T10:34:15","modified_gmt":"2023-12-15T09:34:15","slug":"avviso-di-selezione-n-ipcf-ar-005-2023-pi-scad-12-12-2023","status":"publish","type":"post","link":"https:\/\/www.ipcf.cnr.it\/it\/avviso-di-selezione-n-ipcf-ar-005-2023-pi-scad-12-12-2023\/","title":{"rendered":"Avviso di selezione n. IPCF-AR-005-2023-PI scad. 12\/12\/2023"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"11951\" class=\"elementor elementor-11951\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a00bd9d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a00bd9d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b6dd9e6\" data-id=\"b6dd9e6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4a95830 elementor-widget elementor-widget-text-editor\" data-id=\"4a95830\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Assegno di ricerca<\/strong> focused on \u201cMethodology for the recognition of malfunctioning in wind turbines via acoustic signals and artificial intelligence techniques\u201d within the Research Program \u201csustainable ConditiOn Monitoring of wind turBines using sound sIgnals and machiNe lEarning techniques\u201d &#8211; PRIN 2022 3LMSZN &#8211; COMBINE, funded by the European Union- Next Generation EU.<\/p><ul><li style=\"list-style-type: none;\"><ul><li><strong>Titoli di accesso<\/strong>: Degree in Informatics (23\/S; LM\/18);<\/li><li><strong>Requisiti<\/strong>: acquired experience in the subject matter (see art. 1) in the modalities described in art. 4; advanced\/intermediate experience in coding &#8211; specific experience in Python &#8211; advanced\/intermediate knowledge of machine learning and deep learning models &#8211; capability in developing apps &#8211; knowledge of English &#8211; knowledge of Italian (for foreign candidates)<\/li><li><strong>Area Scientifica<\/strong>: Physical Sciences.<\/li><li><strong>Responsabile<\/strong>: <a href=\"https:\/\/www.ipcf.cnr.it\/it\/team\/luca-fredianelli\/\">Luca Fredianelli<\/a><\/li><li><strong>Sede di Lavoro<\/strong>: Pisa<\/li><li><strong>Come presentare domanda<\/strong>: <a href=\"http:\/\/bandi.urp.cnr.it\/doc-assegni\/documentazione\/14771_DOC_IT.pdf\">IPCF-AR-005-2023-PI<\/a><\/li><li><strong>Scadenza presentazione domanda<\/strong>: December 12 2023<\/li><li style=\"list-style-type: none;\">\u00a0<\/li><li style=\"list-style-type: none;\">\u00a0<\/li><li style=\"list-style-type: none;\">\u00a0<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>1-year Research Fellowship focused on \u201cMethodology for the recognition of malfunctioning in wind turbines via acoustic signals and artificial intelligence techniques\u201d within the Research Program \u201csustainable ConditiOn Monitoring of wind turBines using sound sIgnals and machiNe lEarning techniques\u201d &#8211; PRIN 2022 3LMSZN &#8211; COMBINE, funded by the European Union- Next Generation EU. Qualification: Degree in [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[99],"tags":[],"post_formats":[],"class_list":["post-11951","post","type-post","status-publish","format-standard","hentry","category-expired-calls"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"1-year Research Fellowship focused on \u201cMethodology for the recognition of malfunctioning in wind turbines via acoustic signals and artificial intelligence techniques\u201d within the Research Program \u201csustainable ConditiOn Monitoring of wind turBines using sound sIgnals and machiNe lEarning techniques\u201d \u2013 PRIN 2022 3LMSZN \u2013 COMBINE, funded by the European Union- Next Generation EU.Qualification: Degree in Informatics\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"nino\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.ipcf.cnr.it\/it\/avviso-di-selezione-n-ipcf-ar-005-2023-pi-scad-12-12-2023\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.1.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"it_IT\" \/>\n\t\t<meta property=\"og:site_name\" content=\"IPCF -\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Avviso di selezione n. 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