[Geo4All] Course: Geocomputation and ML + GEO-OPEN-HACK - registration are open

[Giuseppe Amatulli]

Dear Colleagues,

In view of enhancing computation skills in the geographic domain, Spatial
Ecology  is organising two events:

1) A two-month training course: *Geocomputation and Machine Learning for
Environmental Applications (intermediate level)
<https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/>.*

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.
This is a wonderful opportunity for PhD students, Post-Docs and
professionals to acquire advanced computational skills with a Linux
computer.

2) Shortly after the aforementioned Matera in-person workshop, we are
co-hosting from 24 to 28 June

*GEO-OPEN-HACK-2024: Big Geospatial Data Hackathon with Open Infrastructure
and Tools (advance level)
<https://iiasa.ac.at/events/jun-2024/geo-open-hack-2024-big-geospatial-data-hackathon-with-open-infrastructure-and-tools>
*
with the International Institute for Applied Systems Analysis (IIASA) in
Laxenburg, Austria.
*Graduates from the Spatial Ecology course will be directly admitted to the
GEO-OPEN-HACK-2024*. Registration are open at
https://iiasa.ac.at/events/jun-2024/geo-open-hack-2024-big-geospatial-data-hackathon-with-open-infrastructure-and-tools.


Please forward to announce these opportunities within your network.

Sincerely,

Giuseppe Amatulli  & the Spatial Ecology Team


*Geocomputation and Machine Learning for Environmental Applications.
(April, May & June, 2024)*
https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/
*
<https://spatial-ecology.net/course-geocomputation-machine-learning-for-environmental-applications-intermediate-level-2024/>*
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.

More information and registration: www.spatial-ecology.net
(Apply before Saturday 28 January 2023 for an early bird discount)

twitter: @BigDataEcology
-- 

___________
Dr. Giuseppe Amatulli,
Director of Spatial Ecologyg.amatulli at spatial-ecology.net

_______________________________________________
Spatial-Ecology mailing list
Spatial-Ecology at lists.osgeo.org
https://lists.osgeo.org/mailman/listinfo/spatial-ecology
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.osgeo.org/pipermail/geoforall/attachments/20240123/64924bd8/attachment-0001.htm>