Trisk Bio | Software Eng, Hardware Eng, generalists, ops | London, England | Full-time | ONSITE
We are looking for: hardware and software generalists; general generalists; mechanical, fluidic, and biochemical engineers; biologists; bioprocessing scientists.
We recently raised an $11M seed round, from top-tier investors and founders from the USA, mostly SF.
We are building in Stevenage, UK (https://twitter.com/gaurav_ven/status/1489891501459091458?s=...) - a short train commute from Central London (28 min), or East London (21 min), or Cambridge (37 min). Being on-site is important for what we do. We sponsor visas and hire globally.
We're building a new kind of fully-automated 'scale-out' manufacturing facility for biologics.
Our goal is to allow therapeutics companies to manufacture production-scale batches of product in many parallelized, benchtop-scale pieces of kit. This matters because 'scaling-up' from bench-top to production is crazy difficult and stochastic, and causes biological innovators to lose control over their products.
We are a very small team with expertise across biology, regulatory affairs, mechanical engineering, and physics. We intend to keep the team small through construction of our first manufacturing facility. We have a history of working together to accomplish difficult things, including getting mass Covid tests deployed across the UK (https://twitter.com/Dominic2306/status/1410734875708063746).
We hire people above roles. And we hire for values above specific skills. We value: courage; curiosity; motivation; resourcefulness; taste; commercial orientation; playfulness; technical excellence; the ability to both ideate and execute, and the judgement to know when to do which.
So reach out! We very much look forward to hearing from you.
Gallistel wrote a book 'Memory and the Computational Brain,' in which he argues that neural storage and computation via synaptic strengthening alone is implausible, and that the brain must have a real read/write memory. He points out that genetic material is an ideal substrate for such a capacity...
Not to mention quite strong but now forgotten evidence from the 50s...
Can you email me at gauravvman at gmail? I have been working on demonstrating that neural computation is RNA based; would be interested in hearing your take on the field.
I didn't downvote, but the reason is likely because your comment is off-topic. The parents are talking about experiences un-learning one-sided equality that they picked up programming before learning algebra; your comment is about programming a T-83 to help with schoolwork.
I did some accidental market research on Snap with my girlfriend's 9 year-old cousin this weekend.
She had tons of snaps, but informed me that they were almost all blank images. She and her friends send each other these blank images to maintain 'streaks,' which count the number of continuous days that two people have messaged each other.
So attached to these streaks were the cousin and her friends that if the 24 hour mark was approaching and the cousin hadn't sent a blank message to her longest streak, the counterparty would log-in to the cousin's snapchat and send _herself_ a message, to make sure the streak continued.
My cousin said that the blowup in (blank) picture messages had slowed the app to a crawl, leading her not to use it anymore, aside of course for streaks.
Not the kind of of daily-active-users that advertisers crave. I'm 28; never heard of streaks before this.
You have excluded the sentence which immediately follows his stated income: "The median-priced home in San Francisco costs $1.5 million, and a person needs an annual household income of $303,000 in order to afford the 20% down payment on a home that expensive."
Interesting paper. Do you work in the area? I'm working on proving that memories are in fact stored in genetic material, as was believed back in the 60s.
Drop me an email (gauravvman at gmail) if you're interested in this kind of stuff! Would like to know how you came across this paper.
You are of course correct. Unfortunately, the OPs suggestion that 'big data' is changing science has become the common belief in many fields, particularly the most prestigious. Several groups now operate under the protocol: collect big datasets first; spin a scientific story second. These fields often focus on and reward ever increasingly fancy (and expensive) methods to collect more data at 'better' resolution, with respect to some metric.
I'm working on extending this work, now. For those of you interested in the history of memories outside of the brain, I would suggest reading the first chapter of 'The Golem: What Everyone Should Know About Science': http://cstpr.colorado.edu/students/envs_5110/collins_the_gol...
The idea of memory outside of the brain originated in the 1950s, when it was believed that memories may be stored in genetic material. This idea was discredited for interesting sociological reasons which the book explains well.
For those of you asking if the worm brain is a decent model: the work was done in planaria, which is the simplest organism known to have a centralized, two-hemisphere nervous system. So there really is a 'brain' up there in its head, the worm shows little behavior without it.
"Scope of the concept of even baby integration of a function is much much larger, and OP is talking about that."
The OP said the opposite, that differentiation is harder 'more finicky.' I agree that the concept of integration is much richer.
Also, I didn't mean 'closed form solution' when I said 'analytic.' I also didn't mean 'analytic functions.' I meant that the analytic machinery you have to develop in order to have a theory of integration is far richer than for differentiation - i.e, proving the multivariate change of variable theorem.
Not only that; in response controversy arising from the 2009 essay he explicitly stated that "It would be absurd to suggest that women’s votes will be taken away or that this would solve the political problems that vex us."