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<p>Dear Colleagues,<br>
<br>
We still have a few seats available for our exciting upcoming
course that enhances computational skills in the geographic
domain:<br>
<br>
A Fall 2025 training Course: Geocomputation and Machine Learning
for Environmental Applications (intermediate level)<br>
<br>
<a class="moz-txt-link-freetext" href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/">https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/</a><br>
<br>
The course will be offered <b>online</b> with a supplementary
5-day in-person segment at the University of Basilicata, in the
magnificent town of Matera, Italy.<br>
It’s a great opportunity for PhD students, Post-Docs, and
professionals to advance their skills in geocomputation & ML
using Linux-based tools and open-source Python frameworks.<br>
<br>
Note: The course requires an intermediate level of Python, which
can be achieved in the coming months through self-paced learning.<br>
<br>
Please help us spread the word by forwarding this announcement
within your networks.<br>
Sincerely,<br>
<br>
Giuseppe Amatulli & the Spatial Ecology Team<br>
<br>
<b>Geocomputation and Machine Learning for Environmental
Applications (intermediate level; September, October,
November, 2025)</b><br>
<br>
<a class="moz-txt-link-freetext" href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/">https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/</a><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>
-- <br>
___________<br>
Dr. Giuseppe Amatulli,<br>
Director of Spatial Ecology<br>
<a class="moz-txt-link-abbreviated" href="mailto:g.amatulli@spatial-ecology.net">g.amatulli@spatial-ecology.net</a><br>
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