And while I still try to read into sediments, mineralogy and ecology, I would appreciate any input from the specialists on the scientific ideas for this app :) it started more as a Shiny practice but maybe it will be useful to some :)

Before switching to biology and genetics in my PhD, I actually really liked geology while in my MSc and BSc (my secondary specialisation was in marine geology, as an oceanography student). Even now, I sometimes wish I became geologist instead!

For now, just type in mass of your sample and mass of each component (silt, clay, sand) and get your sample printed automatically on the ternary chart. You can download them and your data table easily.

However, I would like to add various classification in the future such as Shepard, Folk as well as others that account for more grain fraction sizes/chemistry.

My initial goal was to build an app that calculates types of sediments and soil based on grain fraction percentages input by the user. For now, I settled for USDA soil classification which is available in ggtern R package. My main goal was to learn Shiny ✨

Sounds very interesting! :)

I am interested!

If you know anyone #hiring soon, please contact me here or on LinkedIn. I am interested in positions in #Sweden and beyond.
I would appreciate any reposts!

I would also love to apply for my own grants in near future.
I have a good skills with #computationalbiology analysis (R, UNIX, Python, some MATLAB), and #NGS pipelines (Plink, Bowtie2, etc).

I want to expand my skills in Data science, machine and deep learning 📚💻 I’ll be extra happy for any advices on what to begin with, building on my background as geneticists and oceanographer (marine ecology).

#postdoc #AcademicTwitter #marinebiology #crustaceans #populationgenetics #aquaticecology