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S2:E2: A Journey to Financial Resiliency and Sustainability with Sam Swanson (he/him)

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Manage episode 361779633 series 3325412
Content provided by Jacob R. Robinson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jacob R. Robinson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Sam Swanson, seasoned entrepreneur and communication professional, joins the pod to describe how machine learning and Raman spectroscopy can be leveraged to build greater confidence and certainty in microplastics analysis (altered by environmental weathering). If you’re passionate about sustainability, future and Indigenous program development, this is the place to be.

Listen to the end for Sam’s full career development insight and Indigenous-led financial resiliency initiatives he’s helping to build.
204 Communications: https://204communications.com/index.php/compound-connect/
Futurpreneur: https://www.futurpreneur.ca/en/indigenous
Follow Sam: https://www.linkedin.com/in/samuelswanson
Read the recently published Oajaiml research paper, titled Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data: https://www.oajaiml.com/archive/machine-learning-of-polymer-types-from-the-spectral-signature-of-raman-spectroscopy-microplastics-data

  continue reading

13 episodes

Artwork
iconShare
 
Manage episode 361779633 series 3325412
Content provided by Jacob R. Robinson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jacob R. Robinson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Sam Swanson, seasoned entrepreneur and communication professional, joins the pod to describe how machine learning and Raman spectroscopy can be leveraged to build greater confidence and certainty in microplastics analysis (altered by environmental weathering). If you’re passionate about sustainability, future and Indigenous program development, this is the place to be.

Listen to the end for Sam’s full career development insight and Indigenous-led financial resiliency initiatives he’s helping to build.
204 Communications: https://204communications.com/index.php/compound-connect/
Futurpreneur: https://www.futurpreneur.ca/en/indigenous
Follow Sam: https://www.linkedin.com/in/samuelswanson
Read the recently published Oajaiml research paper, titled Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data: https://www.oajaiml.com/archive/machine-learning-of-polymer-types-from-the-spectral-signature-of-raman-spectroscopy-microplastics-data

  continue reading

13 episodes

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