Nanoschool Editorial
Pieces that belong to no single domain: where fields meet, how to read the literature, and what the work is actually like day to day for the people doing it.
Published
Careers in deep science
What eight real deep-science roles involve day to day, what qualification each actually needs, and the two axes — bench time and code time — that decide which will suit you.
Where AI and biology meet
What machine learning has actually changed in biology, what it has not, and why the loop between a prediction and a measurement is still the part that takes months.
Reading a scientific paper you were never trained to read
A working order for reading a paper outside your field — figures first, abstract last — and the four questions that separate a supported claim from a plausible one.
Which deep-science domain should you start with?
AI, nano and bio compared on the axes that decide it in practice: what you need to start, how fast the feedback comes, and whether you can practise without a facility.