Dr George RA Hancock 🦋🦎

@grahancock.bsky.social

Postdoc zoologist interested in how ecology shapes form and function in particular colouration. Creator of the CamoEvo toolbox and professional nerd. Ghancockzoology@gmail.com

Oh FFS. Increases in a few species is not a positive from climate change It is a signal that communities & ecosystems are under threat from rapid change Please, BBC, don’t do this simplistic reporting, feeding complacency about climate breakdown www.bbc.co.uk/news/article...

Hummingbird hawk moths and ivy bees: The insects growing in number as temperatures rise

Hummingbird hawk moths - often mistaken for small birds - are being spotted in the West Midlands.

bbc.co.uk

Two weeks left to apply for our postdoc position on vision in trilobites! Come and explore the exciting world of reconstructing vision in the fossil record, using some of the most iconic extinct animals to grace our oceans! Please reach out + RT! (*Deadline in fact 23.59 BST on the 26th August!*)

Lauren Sumner-Rooney@laurensr.bsky.social · 2mo ago

📢 JOB ALERT! 📢 I am recruiting a 30-month postdoc to work on modelling the vision of trilobites @hfspo.bsky.social ! If you like 3D data, fossils, and functional morphology, this is the one for you! 📆Deadline 27. Aug Pls contact me with any Qs and share widely! www.bristol.ac.uk/jobs/find/de...

Hello, fellow evolutionary biologists. I'm someone who frequently uses Genetic Algorithms for research, see CamoEvo etc. A few times now, I've had trouble in peer review for the term "gene" being used to describe the numbers encoding the phenotypes. What is a good alternative?

Bild

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

Accessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype Map

Abstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is

academic.oup.com