{"version":"1.0","provider_name":"Apex","provider_url":"https:\/\/carleton.ca\/apex","author_name":"cuthemeedtr5","author_url":"https:\/\/carleton.ca\/apex\/author\/cuthemeedtr5\/","title":"Physics-informed deep learning for wind power forecasting - Apex","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"oDCsf8KsH0\"><a href=\"https:\/\/carleton.ca\/apex\/2024\/physics-informed-deep-learning-for-wind-power\/\">Physics-informed deep learning for wind power forecasting<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/carleton.ca\/apex\/2024\/physics-informed-deep-learning-for-wind-power\/embed\/#?secret=oDCsf8KsH0\" width=\"600\" height=\"338\" title=\"&#8220;Physics-informed deep learning for wind power forecasting&#8221; &#8212; Apex\" data-secret=\"oDCsf8KsH0\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/carleton.ca\/apex\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"A PhD or Postdoc position in physics-informed deep learning for wind power forecasting is open in the APEX lab at Carleton University in Ottawa, Ontario, Canada. The ideal candidate will have experience in one, or more, of the following areas: Applications are welcome from all areas of engineering, applied math and computer science, and are [&hellip;]"}