- Williams PanLab for Precision Psychiatry and Translational Neuroscience | Research Data Analyst and Engineer | Stanford, CA; Remote possible | Full-time, Visa | http://williamspanlab.com/
The PanLab for Precision Psychiatry and Translational Neuroscience is searching for a Research Data Analyst and Engineer to build and improve upon our treatment prediction software pipeline, which will help guide an individual to the depression/anxiety treatment that is most effective for them. Our pipeline is the first of its kind and currently outputs the different ways brain circuitry can become dysfunctional. The candidate will use machine learning and statistical techniques in our large datasets to analyze the outputs of our current pipeline and create new treatment prediction models.
The PanLab is a research group at Stanford University that aims to use brain imaging to improve our understanding and treatment of mental health conditions. Our current projects focus on depression and anxiety, with research that embraces individual differences. We use a variety of tools such as MRI, EEG, behavioral testing, genetics, symptoms, and daily functioning data, in order to match an individual with the best treatment for them, whether that is an antidepressant, psychotherapy, TMS, lifestyle changes, etc.
We are looking for a candidate with strong data analysis and software engineering experience, but no neuroimaging experience is required! As we are a 30-person team of psychiatrists, neuroscientists, doctors, clinical psychologists, and data scientists, the ability to communicate technical ideas across a range of experiences is vital. Most importantly, we seek someone self-motivated, imaginative, and genuinely excited to dig into our datasets and to explore novel, reliable, and effective ways to help individuals suffering from mental illness.
Read more about our research: http://williamspanlab.com/our-research
Our publications: http://williamspanlab.com/publications
Interested? Email us your CV to bstavel@stanford.edu
- Although I'll certainly butcher the phrasing, my understanding is: measuring a property of one of the entangled particles lets you know the same property of the other particle (an experiment showed this happens faster than the speed of light by measuring the two particles when they were 1.3km apart). This is particularly mysterious because it seems that the property of the particle is not determined before this measurement.
Here are some quotes from a piece on the experiment I mentioned above. from https://www.sciencenews.org/blog/context/entanglement-spooky...
> Einstein insisted that the handedness of the glove must be determined in advance by some physical law. He was perplexed by the possibility that Alice’s choice of hand could have something to do with whether Bob’s glove would fit his fingers.
> Suppose you prepared entangled photons and sent them to Alice and Bob in such a way that if Alice measured hers to be vertically polarized, she instantly knows that Bob’s will be horizontally polarized. . . .
> . . . The photon does not have an orientation until Alice detects it. Same for Bob’s. But once Alice makes a measurement, the outcome of Bob’s measurement is certain.
> Here’s where a lot of confusion clouds entanglement commentary. Contrary to what you might have read in a magazine with “New” and “Yorker” in the title, Alice’s measurement does not “instantaneously” influence Bob’s photon. No signal is sent, no influence transmitted. For all Alice knows, Bob might have measured his photon first. In fact, if the measurements are made at nearly the same time, there might be no objective way to say who made the first measurement. (A space traveler flying along at nearly the speed of light might see Bob’s measurement first, while another traveler flying in a different direction would see Alice’s first.)
StopWatch ADHD Study, Williams PANLab, Psychiatry and Behavioral Sciences, Stanford University School of Medicine
We are looking for an iOS Developer to improve StopWatch, an iOS and Apple Watch application that can be used by youth and adults with ADHD or other focus problems. We have built a prototype of a real-time biofeedback attention training system, as well as the basic infrastructure to collect movement data to better understand how it relates to attention and ADHD. We are looking for a developer to add new features to the UI and make our data uploading iOS code more robust.
We are looking to bring someone on as a developer for a short-term contract. Interested applicants should send a resume and short introduction to stopwatchproject@stanford.edu
Responsibilities
- Prototype and build user interface/haptic feedback
- Optimize data collection pipeline
- Participate in conversations about technical feasibility and project planning
Requirements
- Experience developing iOS and Apple Watch applications with Swift