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    <p>Guten Abend<br>
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    <p>Gerne möchte ich euch auf den interessanten Kurs von Giuseppe
      aufmerksam machen. <br>
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    <p>Schöne Samichlous Tag</p>
    <p>Madlene <br>
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      -------- Forwarded Message --------
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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            <td>[Spatial-Ecology] Course: Geocomputation and Machine
              Learning for Environmental Applications -2023</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
            <td>Mon, 5 Dec 2022 19:28:47 +0100</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
            <td>Giuseppe Amatulli <a class="moz-txt-link-rfc2396E" href="mailto:giuseppe.amatulli@gmail.com"><giuseppe.amatulli@gmail.com></a></td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
            <td><a class="moz-txt-link-abbreviated" href="mailto:spatial-ecology@lists.osgeo.org">spatial-ecology@lists.osgeo.org</a></td>
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          <div style="color:rgb(0,0,0)">Dear Colleagues,<br>
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          <div style="color:rgb(0,0,0)"><br>
            In view of enhancing computation skills in the geographic
            domain, <a href="http://spatial-ecology.net/" target="_blank" moz-do-not-send="true">Spatial Ecology</a> 
            is organising a two-month training course: <a href="http://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2023/" target="_blank" moz-do-not-send="true"><span class="gmail-il">Geocomputation</span> and <span class="gmail-il">Machine</span> <span class="gmail-il">Learning</span> for <span class="gmail-il">Environmental</span> <span class="gmail-il">Applications</span></a>.<br>
            <br>
            The course will be offered on-line with a supplementary
            5-day (or 10-day) in-person segment at the University of
            Basilicata, in the magnificent town of <a href="https://www.google.com/maps/place/75100+Matera,+Province+of+Matera,+Italy/@40.6646012,16.5651092,13z/data=!3m1!4b1!4m5!3m4!1s0x13477ee2482b152b:0x8f6a4ae10da9360!8m2!3d40.666379!4d16.6043199" target="_blank" style="font-size:12.8px" moz-do-not-send="true">Matera</a>, Italy. This is a
            wonderful opportunity for PhD students, Post-Docs and
            professionals to acquire advanced computational skills with
            a Linux computer.<br>
            <br>
            Please forward to announce this opportunity within your
            network.<br>
            <br>
            Sincerely, Giuseppe Amatulli  & <span style="font-size:12.8px">Spatial Ecology – Team</span><span style="font-size:12.8px"><br>
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            <p><b><a href="http://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2023/" target="_blank" moz-do-not-send="true"><span class="gmail-il">Geocomputation</span> and <span class="gmail-il">Machine</span> <span class="gmail-il">Learning</span> for <span class="gmail-il">Environmental</span> <span class="gmail-il">Applications</span></a><span style="color:rgb(34,34,34)">.</span></b><b style="font-size:12.8px"> (April, May, June, <span class="gmail-il">2023</span>)</b><br>
            </p>
            <p style="font-size:12.8px">In this course, students will be
              introduced to an array of powerful open-source <span class="gmail-il">geocomputation</span> tools and <span class="gmail-il">machine</span> <span class="gmail-il">learning</span> methodologies
              under Linux environment. Students who have never been
              exposed to programming under Linux are expected to reach
              the stage where they feel confident in using very advanced
              open source data processing routines. Students with a
              precedent programming background will find the course
              beneficial in enhancing their programming skills for
              better modelling and coding proficiency. Our dual teaching
              aim is to equip attendees with powerful tools as well as
              rendering their abilities of continuing independent
              development afterwards. The acquired skills will be
              beneficial, not only for GIS related application, but also
              for general data processing and applied statistical
              computing in a number of fields. These essentially lay the
              foundation for career development as a data scientist in
              the geographic domain.<br>
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              <p>More information and registration:<br>
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              <p><a href="http://www.spatial-ecology.net/" target="_blank" moz-do-not-send="true">www.spatial-ecology.net</a><br>
                twitter: @BigDataEcology</p>
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        -- <br>
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                                  <div>Giuseppe Amatulli, Ph.D.<br>
                                    <br>
                                    Research scientist at<br>
                                    School of the Environment<br>
                                    Yale University</div>
                                  <div>New Haven, CT, USA</div>
                                  <div>06511</div>
                                  <div><font color="#000000">Twitter</font><span style="color:rgb(0,0,0)">: @BigDataEcology</span><br>
                                    <div> Teaching: <a href="http://spatial-ecology.net" target="_blank" moz-do-not-send="true" class="moz-txt-link-freetext">http://spatial-ecology.net</a></div>
                                    Work:  <a href="https://environment.yale.edu/profile/giuseppe-amatulli/" target="_blank" moz-do-not-send="true">https://environment.yale.edu/profile/giuseppe-amatulli/<br>
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