thisisnotmyname

Not to mention that ai lets the domain experts create and test proof of concept implementations themselves. This alone has been a revelation for us and saves a tremendous number of design cycles.

Isn’t the point that if you can identify one naval vessel by this means you can probably identify many?

What happens if banks systematically are unable to pay these loans back?

I'd be curious to know how he measures stress levels.

Or sign up for All of Us: https://allofus.nih.gov/

This study also claims to have shown a dosage effect.

Codified Genomics - Houston TX codifiedgenomics.com

Codified Genomics is hiring a user interface and HCI developer. We have a massive amount of data to show users and need someone to develop new ways of presenting and interacting with it. Our current user interfaces are written in GWT, so experience with Java and css are important.

The software you write at Codified will directly influence healthcare decisions for thousands of patients. We do clinical genomic variant analysis. We take whole-exome sequence data and predict clinical outcome for the variants we observe in patients, which is then used by clinicians to inform treatment. To do this, we aggregate large amounts of additional data on individual genes and variants, and apply a series of proprietary algorithms.

A willingness to learn is more important to us than a Biology background, but the job will require you to become familiar with the Biology that we're working with.

Send resumes / portfolios to codifiedgenomics@gmail.com

Codified Genomics - Houston TX (remote OK) codifiedgenomics.com

Software you write at Codified will directly influence healthcare decisions for thousands of patients. We're looking for experienced software engineers who are up to that challenge, and who have a track record of working in an environment that demands a high level of quality.

We do clinical genomic variant analysis. We take whole exome sequence data and predict clinical outcome for the variants we observe in patients, which is then used by clinicians to inform treatment. To do this, we aggregate large amounts of additional data on individual genes and variants, and apply a series of proprietary algorithms. We started with seed funding and are currently profitable with revenue from our first customer.

We're hiring our first engineer. At Codified your responsibilities will be wide - you will probably end up touching every piece of software we write, with an emphasis on the user facing applications. We are currently using GWT and mysql with some scripting in Python. Additionally, you'll help us grow our team over the next few months as we continue to add engineers.

We have a large number of interesting projects under active development, spanning natural language processing, machine learning, user interface design and of course sequence analysis.

We're looking for someone who is experienced, flexible and willing to work outside of their comfort zone. A willingness to learn is more important to us than a Biology background, but the job will require you to learn the basics of the Biology that we're working with.

We're willing to consider remote work for experienced candidates, but preference will be shown to candidates in the Houston area.

We are offering 70k+ salary and equity. Contact us at codifiedgenomics@gmail.com

Interfering with telomere activity is a critical step for cancer progression (see the halmarks of cancer, limitless reproductive potential), so this procedure essentially makes every cell in your body pre-cancerous.

In my opinion, the most amazing part about this is that the way in which telomerase is delivered is via a retrovirus, typically a relative of HIV.

I really like this. It reminds me of the ideas Steve Yegge was discussing with his "software engineering political axis". https://plus.google.com/u/0/110981030061712822816/posts/KaSK...

In most cases, cancer progression results from cumulative genetic damage, which is strongly linked to aging. See, e.g. http://www.nature.com/nature/journal/v448/n7155/full/nature0...

I'd encourage a different interpretation of the data: Cancer holding steady actually is an improvement.

Everyone is guaranteed to die of something, and the longer you live the likelihood of that something being cancer greatly increases. So as people shift away from other categories, i.e. heart disease and childbirth, and live longer, they're going to shift towards the cancer category. I'm actually amazed that cancer hasn't gone up significantly.

There is a great deal of philosophy here, but I'd prefer to see some data that backs up his point. Can you show me a project in which investing in an estimate harmed it?

I actually laughed out loud at:

"Improve your Theoretical knowledge" ...followed by... "Learn C"

I obviously have a completely different idea in mind when it comes to computer science theory than the author does.

I think it is because Blizzard is so careful about balancing the game, resulting in an immense diversity of available strategies. These become apparent once both players are sufficiently close enough in skill to be able to "spam" the same number of units out.

From the description, this sounds quite over-engineered. You need a system to queue jobs and to automatically restart jobs that fail? I must be missing something here, can you help me figure out what it is?

Check out smartfootball.com

This should be the top comment. This article seems to be playing games with the numbers. Why do they choose to focus on the fraction of the unemployed? This trend could just be explained by greater numbers of people attending some amount of college relative to the past. They should really show the fraction of college educated unemployed, vs fraction without college educated unemployed, but that wouldn't fit their narrative.

They're presenting averages, which should always be accompanied by the standard deviations, otherwise they're close to meaningless. I actually think box plots would be better here.

"The norms don’t encourage the sharing of an interactive, full-color, 3 dimensional model of the protein, even if that would be a more suitable media format for the kind of knowledge that is being shared."

This is simply wrong - when you solve a protein structure is is mandatory that you submit it to the pdb (i.e http://www.pdb.org/pdb/101/motm.do?momID=148) and nearly every journal I read has both color figures and extensive online supplementary materials.

Definitely agree on Starting Strength. Its done wonders for me, and there's no bs in the workouts, just basic barbell movements.

I agree with this suggestion.

Also, I want to point out that "essential readings" is not the right attitude. In order to really make progress you're going to need to get your hands dirty and work though some examples. One very good exercise is to write an interpreter for a language you invent.

How exactly do vouchers solve the problem of poorly written standardized tests?

I love the idea and hope it happens. Day[9] springs to mind, he's a former pro starcraft player who teaches the high levels of the game to other players in a weekly stream. He appears to be at least ramen profitable. I wonder if he serves as a model for this kind of approach. It would be great to see a Day[9] for every subject, even something as far flung as tennis instruction. Access to coaches is limited to highschoolers or those with gobs of money.

He really needs a positive control, i.e. something he knows for sure improves his sleep in order to quantify the effect. Say his data shows a small effect, and it is even statistically significant. He still won't have learned anything without having some reference for the magnitude of the change.

The standard test for causality (at least in biology, where I work) is to test for rescue. You first establish that under conditions a, event b happens. You then reverse a, and observe b returning to normal. This, followed by controls demonstrating that you're only changing a and are actually measuring b serve as a stringent test for causation.

It would be nice if the author provided a citation or two to back up the sweeping statements he or she is making.

There are some major inaccuracies in the way biomedical research is presented in this article. For one, in nearly every mouse study, confirmatory studies are also carried out in human tissue cultures (Hela cells are a famous example), which are completely absent from their pie chart.

Secondly, the article completely ignores sequencing efforts - an astonishing oversight in my opinion. Obviously, we can't do genetic studies on humans, but inexpensive exome sequencing is rapidly allowing us to do observational studies in humans.

Crossfit seems to be for people who are already pretty strong athletes. Is it really something you can just jump on board with if you're fairly out of shape?

I've spent the last few months following the "Starting Strength" plan (http://startingstrength.com/) with the idea of getting in good enough shape to do crossfit.

Sounds like you're doing great - you're miles ahead of where I was at 15, that's for sure. I think you need a mentor. Look to open source, local universities, etc. I've heard good things about the google summer of code.