In ML, # of samples matters due to data heterogeneity! Even a large database with 20,000 samples may not be large enough! Either learning curve or representative sample size analysis is essential. If interested, see our paper in WRR.
https://t.co/TnjAZGp8UK
#AI#ML#WRR
I have two PhD positions available at UTA to start Spring or Fall 2025. Applicants should submit a cover letter and an updated CV to me via email [email protected].
Please use โPhD at UTAโ on the subject line followed by the subject of interest.
#research#UTA
I'm honored to be invited to a reception at AGU23 honoring top authors and reviewers. ๐ I would like to express my heartfelt gratitude to the American Geophysical Union for organizing this special event and recognizing the hard work and dedication of the individuals.๐ท#AGU23
Delighted that our proposal on soil-based CO2 sorption was selected as one of the @EMSLscience large-scale projects! Look forward to working on this project to fight climate change.
https://t.co/H7DVvJarPQ
#KState#PNNL#Soil#EMSL#MONet#DOE#climatechange
We are excited to kick off our new project on the geomechanical and mineralogical properties of limestone samples from Kansas, recently funded by the Kansas Department of Transportation (KDOT).
#KState#research#Funding
Undergrads, currently enrolled at a US institution, with interests to ecology:
The SEEDS program will sponsor a national field trip to Konza Prairie Biological Station in Kansas October 12-15, 2023. Apply at: https://t.co/DPg5NbhsyW
Deadline July 7
#esa#nationalfieldtrip#seeds
Congratulations to my graduate students @Oluwaseunjosep4 and @TolulopeQuazeem who were awarded the 2022 National Association of Black Geoscientists (NABG) scholarships. Special thanks to NABG Scholarship Chairperson Roxanne Lamb and the entire NABG team.
New in #VZJ - Machine learning in vadose zone hydrology: A flashback - by Ghanbarian (@B_Ghanbarian) & Pachepsky, who discuss database-dependent accuracy and reproducibility of #ML models, lessons from the past and the need for protocols.
https://t.co/vbMeDCYRGH
@KState@USDA_ARS
In a rapid communication, Yakov Pachepsky and I emphasize that attention should be paid to database-dependent accuracy and reproducibility of ML models. We discuss lessons from the past and highlight the need for and lack of fundamental protocols.
https://t.co/Y2bC9JPWXL
For our ACS-PRF project, I am looking for a motivated graduate student (https://t.co/cokDrydSfG. level) to work with me on wide-field fluorescence microscopy and shale samples. The position is fully funded starting fall 2022.
If interested, send me your CV ([email protected]).