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    <div class="moz-forward-container">Salut zäme</div>
    <div class="moz-forward-container">Giuseppe bietet ein Kurs zur
      Anwendung von maschinellem Lernen an. <br>
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    <div class="moz-forward-container">Liebe Grüsse</div>
    <div class="moz-forward-container">Madlene</div>
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    <div class="moz-forward-container">-------- 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.</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
            <td>Tue, 11 Jan 2022 14:04:15 -0500</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>Dear Colleagues,<br>
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          In view of enhancing computation skills in the geographic
          domain, <a href="http://spatial-ecology.net" moz-do-not-send="true">Spatial Ecology</a>  is organising a
          two-month training course: <a href="http://spatial-ecology.net/geocomp_ml_2022-announcement/" moz-do-not-send="true">Geocomputation and Machine Learning
            for Environmental Applications</a>. <br>
          <br>
          The course will be offered on-line with a supplementary 5-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>
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          Sincerely, Giuseppe Amatulli  & <span style="color:rgb(0,0,0);font-size:12.8px">Spatial Ecology –
            Team</span><span style="color:rgb(0,0,0);font-size:12.8px"><br>
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          <p style="color:rgb(0,0,0)"><b><a href="http://spatial-ecology.net/geocomp_ml_2022-announcement/" moz-do-not-send="true">Geocomputation and Machine
                Learning for Environmental Applications</a><span style="color:rgb(34,34,34)">.</span></b><b style="font-size:12.8px"> (April, May, June, 2022)</b><br>
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          <p style="color:rgb(0,0,0);font-size:12.8px">In this course,
            students will be introduced to an array of powerful
            open-source geocomputation tools and machine learning
            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 style="font-size:12.8px">More
              information and registration:<br>
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            <p style="font-size:12.8px"><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 - 06511</div>
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                                  <div><span style="color:rgb(0,0,0)">Tweeter: @BigDataEcology</span><br>
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                                  <div>Teaching: <a href="http://spatial-ecology.net/" target="_blank" moz-do-not-send="true">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/</a> </div>
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