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<div>Dear Colleagues,</div>
<div><br>
</div>
<div>In view of enhancing computation skills in the geographic
domain, Spatial Ecology is organising two events: </div>
<div><br>
</div>
<div>1) A two-month training course: <b><a
href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/">Geocomputation
and Machine Learning for Environmental Applications
(intermediate level)</a>.</b></div>
<div><br>
</div>
<div>The course will be offered online with a supplementary 5-day
in-person segment at the University of Basilicata, in the
magnificent town of Matera, Italy. </div>
<div>This is a wonderful opportunity for PhD students, Post-Docs
and professionals to acquire advanced computational skills with
a Linux computer. </div>
<div><br>
</div>
2) Shortly after the aforementioned Matera in-person workshop, we
are co-hosting from 24 to 28 June </div>
<div>"GEO-OPEN-HACK-2024: Big Geospatial Data Hackathon with Open
Infrastructure and Tools (advance level)" </div>
<div>with the International Institute for Applied Systems Analysis
(IIASA) in Laxenburg, Austria. <br>
</div>
<div><b>Graduates from the Spatial Ecology course will be directly
admitted to the GEO-OPEN-HACK-2024</b>. </div>
<div>Details will be announced shortly.<br>
<br>
<div>Please forward to announce these opportunities within your
network.</div>
<div><br>
</div>
<div>Sincerely, </div>
<div><br>
</div>
<div>Giuseppe Amatulli & the Spatial Ecology Team</div>
<div><br>
</div>
<div><br>
</div>
<div>
<div><b>Geocomputation and Machine Learning for Environmental
Applications. (April, May & June, 2024)</b></div>
<div><a
href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/"
class="moz-txt-link-freetext">https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/</a><b><a
href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/"><br>
</a></b></div>
<div>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.</div>
</div>
</div>
<p></p>
<p>More information and registration: <a
class="moz-txt-link-freetext">www.spatial-ecology.net</a> <br>
(Apply before Saturday 28 January 2023 for an early bird discount)<br>
</p>
<p>twitter: @BigDataEcology</p>
--
<pre class="moz-signature" cols="72">___________
Dr. Giuseppe Amatulli,
Director of Spatial Ecology
<a class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:g.amatulli@spatial-ecology.net">g.amatulli@spatial-ecology.net</a></pre>
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