<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div>
<div dir="ltr">
<div>
<div dir="ltr">
<div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:12pt; color:rgb(0,0,0)">
<br>
</div>
<div id="x_x_appendonsend"></div>
<hr tabindex="-1" style="display:inline-block; width:98%">
<div id="x_x_divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>From:</b> GeoForAll <geoforall-bounces@lists.osgeo.org> on behalf of Giuseppe Amatulli <giuseppe.amatulli@gmail.com><br>
<b>Sent:</b> 11 January 2022 20:14<br>
<b>To:</b> geoforall@lists.osgeo.org <geoforall@lists.osgeo.org><br>
<b>Subject:</b> [Geo4All] Course: Geocomputation and Machine Learning for Environmental Applications.</font>
<div> </div>
</div>
<div>
<div dir="ltr"><br>
<div class="x_x_x_gmail_quote">
<div dir="ltr" class="x_x_x_gmail_attr">Dear Colleagues,<br>
</div>
<div dir="ltr">
<div><br>
In view of enhancing computation skills in the geographic domain, <a href="http://spatial-ecology.net" target="_blank">
Spatial Ecology</a> is organising a two-month training course: <a href="http://spatial-ecology.net/geocomp_ml_2022-announcement/" target="_blank">
Geocomputation and Machine Learning for Environmental Applications</a>. <br>
<br>
The course will be offered on-line with a supplementary 5-day in-person segment at the University of Basilicata, in the magnificent town of <a href="https://www.google.com/maps/place/75100+Matera,+Province+of+Matera,+Italy/@40.6646012,16.5651092,13z/data=!3m1!4b1!4m5!3m4!1s0x13477ee2482b152b:0x8f6a4ae10da9360!8m2!3d40.666379!4d16.6043199" target="_blank" style="font-size:12.8px">Matera</a>,
Italy. This is a wonderful opportunity for PhD students, Post-Docs and professionals to acquire advanced computational skills with Open Source Software in a Linux Environment.</div>
<div><br>
Please forward to announce this opportunity within your network.<br>
<br>
Sincerely, Giuseppe Amatulli & <span style="color:rgb(0,0,0); font-size:12.8px">Spatial Ecology – Team</span><span style="color:rgb(0,0,0); font-size:12.8px"><br>
</span></div>
<div><br>
</div>
<div>
<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0px; margin-bottom:0px; color:rgb(0,0,0)">
<b><a href="http://spatial-ecology.net/geocomp_ml_2022-announcement/" target="_blank">Geocomputation and Machine Learning for Environmental Applications</a><span style="color:rgb(34,34,34)">.</span></b><b style="font-size:12.8px"> (April, May, June, 2022)</b><br>
</p>
<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0px; margin-bottom:0px; color:rgb(0,0,0); font-size:12.8px">
In this course, students will be introduced to an array of powerful open-source geocomputation tools and machine learning methodologies under Linux environment. Students who have never been exposed to programming under Linux are expected to reach the stage
where they feel confident in using very advanced open source data processing routines. Students with a precedent programming background will find the course beneficial in enhancing their programming skills for better modelling and coding proficiency. Our dual
teaching aim is to equip attendees with powerful tools as well as rendering their abilities of continuing independent development afterwards. The acquired skills will be beneficial, not only for GIS related application, but also for general data processing
and applied statistical computing in a number of fields. These essentially lay the foundation for career development as a data scientist in the geographic domain.<br>
</p>
<div style="color:rgb(0,0,0); font-size:12.8px">
<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0px; margin-bottom:0px; font-size:12.8px">
More information and registration:<br>
</p>
<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0px; margin-bottom:0px; font-size:12.8px">
<a href="http://www.spatial-ecology.net/" target="_blank">www.spatial-ecology.net</a><br>
twitter: @BigDataEcology</p>
</div>
</div>
-- <br>
<div dir="ltr">
<div dir="ltr">
<div>
<div dir="ltr">
<div>
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div>Giuseppe Amatulli, Ph.D.<br>
<br>
Research scientist at<br>
School of the Environment<br>
Yale University</div>
<div>New Haven, CT, USA - 06511</div>
<div>
<div><span style="color:rgb(0,0,0)">Tweeter: @BigDataEcology</span><br>
</div>
<div>Teaching: <a href="http://spatial-ecology.net/" target="_blank">http://spatial-ecology.net</a></div>
Work: <a href="https://environment.yale.edu/profile/giuseppe-amatulli/" target="_blank">https://environment.yale.edu/profile/giuseppe-amatulli/</a> </div>
<div><br>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div dir="ltr" class="x_x_x_gmail_signature">
<div dir="ltr">
<div>
<div dir="ltr">
<div>
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div dir="ltr">
<div><br>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<PRE>
This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment.
Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored
where permitted by law.
</PRE></body>
</html>