Does the new set of predictions contain a bunch of membrane bound protiens?

Software, devices, protocols etc are not just used in a single country. They are used worldwide. If a backdoor needs to be supported for a several dozen governments, each with various levels of security practices, there’s no way it stays secret for long. It’s only a matter of time before a country or state like Georgia gets it’s old poorly configured IT infrastructure hacked and the attackers now have access to some backdoor keys. How do governments revoke old keys and create new ones across all applicable devices? It’d be pretty hard to do that without going to companies and saying “fix” or “get me that” with some type of warrant or court order. That is kinda like what we have now which is mostly limited user information located in the cloud somewhere.

I think the larger issue is that there is a coordinated push to get complete government access to everything. This is happening at a time where dystopian surveillance is not only quickly becoming possible, but also profitable. The government has the right to pretty much everything legally, but the potential for misuse in situations where the government gets access everything is really high. The ability for citizens to combat that misuse is reduced the more government gets.

This is my understanding of things. Let me know how I’m wrong.

For things like cancer cells which from a cell surface perspective, can look a lot like healthy cells, I don’t know how one only modifies DNA/RNA expression in only cancer cells. It would have to be all cells with maybe some cellular diagnosis logic in the DNA/RNA itself. Even then cancer evolves. It would have to done multiple times with something like cell descendents information.

Where I disagree with him is that I don't think right out of college professionals should be working in a mainframe environment. As a person who has spent the past 3.5 years (right out of college) working in mainframe capacity planning and performance, I think mainframe technology can be pretty niche and I very nervously wonder if my very specific mainframe systems engineering experience will translate anywhere else. I feel as though getting a new tech professional started in their career would be better in an environment that is popular and they are familiar with, and then working from there.

Remote: No

Willing to relocate: Yes

Technologies: Python(Pandas,Numpy, etc)/SAS/R/Mainframe/VBA

Resume: Email if needed

Email: roscoe1245@gmail.com

I'm a Systems Engineer Currently doing work in Mainframe Performance and capacity planning. I've got a background in analysis/math, but I'm looking for more of a Data Engineer or software development role. I'd be open to other possibilities as well.

Remote: Yes

Willing to relocate: Yes

Technologies: Python, SQL, SAS, R, a bit of JavaScript and Java,Deep Learning.

Resume: via email Email: roscoe1245@gmail.com

I’m a Systems Engineer with a few years doing Capacity Planning and Performance for mostly legacy mainframe systems. I have done a bit of work doing data analytics as well. I’m looking for more of a developer type role. I have an interest in AI, Robotics, and Biology.

Disclaimer: I work for one of these.