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      <p>Dear Colleagues,<br>
        <br>
        In view of enhancing computation skills in the geographic
        domain, Spatial Ecology  is organising: <br>
        <br>
        A Fall 2025 training Course: <a
href="https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2025/">Geocomputation
          and Machine Learning for Environmental Applications
          (intermediate level)</a> </p>
      <p><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 online with a supplementary 5-day
        in-person 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. <br>
      </p>
      <p>Consider that early bird discount is available if you register
        and pay by 30 May 2025.<br>
      </p>
      <p>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, 2025)<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>
        More information and registration: <a
          class="moz-txt-link-abbreviated"
          href="http://www.spatial-ecology.net">www.spatial-ecology.net</a><br>
        (Apply before 30 of May 2025 for an early bird discount)<br>
      </p>
      <pre class="moz-signature" cols="72"></pre>
      <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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