<div dir="ltr"><div><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="gmail-moz-txt-link-freetext" href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/" target="_blank" rel="noreferrer nofollow noopener">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="gmail-moz-txt-link-freetext" href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/" target="_blank" rel="noreferrer nofollow noopener">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="gmail-moz-txt-link-abbreviated gmail-moz-txt-link-freetext" href="mailto:g.amatulli@spatial-ecology.net" rel="noreferrer nofollow noopener">g.amatulli@spatial-ecology.net</a></p>
<pre class="gmail-moz-signature" cols="72">-- </pre></div></div>