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--- opensci:2022:jor [2022/06/23 23:02] – jorgem
+++ opensci:2022:jor [2024/03/23 20:17] (atual) – edição externa 127.0.0.1
@@ Linha 1: / Linha 1: @@
+<html>
+ <h1>
+  <strong>
+Jorge Monteiro
+  </strong>
+ </h1>
+<p style="text-align: left;"><a href="https://github.com/JoseJorgeMonteiro" target="_blank">GitHub</a>|<a href="https://www.linkedin.com/in/josejorgemonteirojunior/" target="_blank">Linkedin</a>|<a href="https://twitter.com/landsensing" target="_blank">Twitter</a>|<a href="http://lattes.cnpq.br/0911037640720248" target="_blank">CV Lattes</a></p>
+</html>
+{{ :opensci:2022:img-20210811-wa0279.jpg?nolink&200|}}
+<html>
+ <p align = "justify">
+  <br>
+   <h3>
+    <span>
+    <span>
+     <strong>
+    <span class="" style="color: rgb(51, 51, 51); background-color: rgb(255, 255, 255);">
+Biography
+    </span>
+     </strong>
+    </span>
+    </span>
+   </h3>
+      <div class="editor-indent" style="margin-left: 30px;">
+  <p align = "justify">
+Jorge is currently a Master's student in the Forest Resources Grad Program at the
+University of São Paulo – USP; <p align = "justify"> He was a Resident Fellow in the Agricultural
+Professional Residency Program offered by the Brazilian Ministry of
+Agriculture, Livestock and Food Supply, working in Suzano S.A. and the Federal
+Rural University of Pernambuco. </p><p align = "justify"> He holds a Bachelor's degree in Forestry from
+the Federal Rural University of Pernambuco (2021). He also has been developing research and studies in both remotely sensed data and geoprocessing for the Brazilian dry forests.</p><p align = "justify"> Jorge enjoys to play piano and to sing out loud whenever he can! </p>    </span>
+  </p>
+   </div>
+     <strong>
+  <br>
+     </strong>
+  <p align = "right">
+<strong>
+Quantitative Research Center Lab - ESALQ/USP
+<br>
+</strong>
+<strong>
+Tel
+</strong>
+: +55 19 3447 6676<br>
+<strong>
+E-mail
+</strong>
+: jorgem@usp.br<br>
+<p>&nbsp;</p>
+</html>
+<html><hr>
+<p style="text-align: justify;">&nbsp; &nbsp; &nbsp; &nbsp; Well, if you accessed this page, it's probably because you're interested in the content produced in the class LCF5900 "Open and Reproducible Scientific Data Processing". There were required 2 main tasks, and here they are:</p>
+<p style="text-align: justify; padding-left: 40px;"><strong>1.</strong> To develop a Google Colab (Jupyter Notebooks, Python) using Climate Data from Piracicaba<br /><strong>2.</strong> With the same data &amp; results from the first task, develop a RMarkdown!</p>
+<p style="text-align: justify;">and of course, all the data must be <strong>FAIR</strong>.</p>
+</html>
+<html><hr></html>
+<html><p align = "justify">
+Here is my google colab <a href=https://colab.research.google.com/drive/1IZ06lOqn8g1drbkdjjA-F9eFBcxyV-Vt?usp=sharing>"Piracicaba's Climograph!"</a>
+<br/>
+<p><span>Here is a GitHub with my Rmd.Project "<a href="https://github.com/JoseJorgeMonteiro/Climograma.git" target="_blank" rel="noopener">Piracicaba's Climograph!</a>"</span></p>
+ </p></html>