<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p><span lang="EN-US">Dear Colleagues,<br>
<br>
In view of enhancing computation skills in the geographic
domain, </span><a
href="https://urldefense.com/v3/__https:/www.spatial-ecology.net__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxyZIPlJRb$"><span
lang="EN-US">https://www.spatial-ecology.net</span></a><span
lang="EN-US"> is organising: <br>
<br>
a Fall 2026 training Course: <b>Geocomputation and Machine
Learning for Environmental Applications</b> (intermediate
level) </span></p>
<p><span lang="EN-US">(</span><a
href="https://urldefense.com/v3/__https:/www.spatial-ecology.net/pages/courses/2026/open_call_fall2026__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxySGnZXXU$"><span
lang="EN-US">https://www.spatial-ecology.net/pages/courses/2026/open_call_fall2026</span></a><span
lang="EN-US">)<br>
<br>
The course will be offered <b>online</b> with a supplementary <b>5-day
in-person</b> segment at the University of Basilicata, in the
magnificent town of Matera, Italy.
<br>
This is a wonderful opportunity for PhD students, Post-Docs and
professionals to acquire advanced computational skills with a
Linux computer.
</span></p>
<p><span lang="EN-US">Consider that early bird discount is available
if you register and pay by 30 May 2026.</span></p>
<p><span lang="EN-US">Please forward to announce these opportunities
within your network.<br>
<br>
Sincerely, <br>
<br>
Giuseppe Amatulli & the Spatial Ecology Team<br>
<br>
Geocomputation and Machine Learning for Environmental
Applications (intermediate level; September, October,
November, 2026)<br>
(</span><a
href="https://urldefense.com/v3/__https:/www.spatial-ecology.net/pages/courses/2026/open_call_fall2026__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxySGnZXXU$"><span
lang="EN-US">https://www.spatial-ecology.net/pages/courses/2026/open_call_fall2026</span></a><span
lang="EN-US">)<br>
On this course, students will be introduced to an array of
powerful open-source geocomputation tools and machine learning
methodologies in the Linux environment. Students who have never
been exposed to programming in Linux will acquire confidence in
using advanced open source data processing routines. Those with
a programming background will find the course beneficial in
improving their programming and modelling skills. We aim to
equip attendees with powerful programming tools, as well as hone
their abilities for independent development. This will be
valuable not only for GIS related applications but also for
general data processing and applied statistical computing in a
number of fields. We strive to provide the best grounding for
career development as a geographic data scientist.<br>
<br>
More information and registration: </span><a
href="https://urldefense.com/v3/__http:/www.spatial-ecology.net__;!!DOxrgLBm!C_2W6xZtalrn1J2dHpOZIQid9fA4RwGlGLkM7hoyT5V4k0ls7YbMmYJTgPe2PxQz-5ajmNKXIiUyl4LU8aIBJysLAN85XBqxyRONIQIH$"><span
lang="EN-US">www.spatial-ecology.net</span></a><span
lang="EN-US"><br>
(Apply before 30 of May 2026 for an early bird discount)</span></p>
<p><span lang="EN-US"> </span>-- <br>
</p>
<pre class="moz-signature" cols="72">___________
Dr. Giuseppe Amatulli,
Director of Spatial Ecology
<a class="moz-txt-link-abbreviated" href="mailto:g.amatulli@spatial-ecology.net">g.amatulli@spatial-ecology.net</a></pre>
</body>
</html>