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Please read this entire post carefully and format your application appropriately.

This post is for new panelist recruitment! The previous one is here.

The panel is an informal group of redditors who are either professional scientists or those in training to become so. All panelists have at least a graduate-level familiarity within their declared field of expertise and answer questions from related areas of study. A panelist's expertise is summarized in a color-coded AskScience flair.

Membership in the panel comes with access to a panelist subreddit. It is a place for panelists to interact with each other, voice concerns to the moderators, and where the moderators make announcements to the whole panel. It's a good place to network with people who share your interests!


You are eligible to join the panel if you:

  • Are studying for at least an MSc. or equivalent degree in the sciences, AND,

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  • Choose exactly one general field from the side-bar (Physics, Engineering, Social Sciences, etc.).

  • State your specific field in one word or phrase (Neuropathology, Quantum Chemistry, etc.)

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   General field: Anthropology
   Specific field: Maritime Archaeology
   Particular areas of research include historical archaeology, archaeometry, and ship construction. 
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   Comments: 1, 2, 3, 4.

Please do not give us personally identifiable information and please follow the template. We're not going to do real-life background checks - we're just asking for reddit's best behavior. However, several moderators are tasked with monitoring panelist activity, and your credentials will be checked against the academic content of your posts on a continuing basis.

You can submit your application by replying to this post.

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Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a VP Technologies at Qualcomm. He has a secondary appointment as a senior fellow at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of "Scyfer BV" a university spin-off in deep learning which got acquired by Qualcomm in summer 2017. In the past he held postdoctoral positions at Caltech ('98-'00), UCL ('00-'01) and the U. Toronto ('01-'03). He received his PhD in '98 under supervision of Nobel laureate Prof. G. 't Hooft. Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015 (impact factor 4.8). He serves on the board of the NIPS foundation since 2015 (the largest conference in machine learning) and has been program chair and general chair of NIPS in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. He has served on the editorial boards of JMLR and JML and was an associate editor for Neurocomputing, JCGS and TPAMI. He received multiple grants from Google, Facebook, Yahoo, NSF, NIH, NWO and ONR-MURI among which an NSF career grant in 2005. He is recipient of the ECCV Koenderink Prize in 2010. Welling is in the board of the Data Science Research Center in Amsterdam, he directs the Amsterdam Machine Learning Lab (AMLAB), and co-directs the Qualcomm-UvA deep learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA).

He will be with us at 12:30 ET (ET, 17:30 UT) to answer your questions!

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For instance, indoors where there's minimal light coming from one window like 30 ft away. Does the plant sense the UV radiation similar to how we feel 'hot' vs 'cold'?

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Mastermind, by Genomenon, is the first-in-kind genomic search engine that connects clinicians and researchers directly to the most impactful scientific literature in their field. It provides a web-based search on a full complement of medical literature comprising over 6 million full text genomic articles cataloging the genetic relationships to human diseases. With a simple query, Mastermind returns a list of prioritized, clinically relevant genomic articles including insight into gene, mutation and keyword matches for each article. We offer a free edition of the Mastermind Genomic Search Engine to clinical, research and academic institutions to advance genomic analysis and DNA data interpretation. Come ask us anything about precision medicine, genomic testing, bioinformatics, and more!

We'll be on from 2-5pm EST (19-22 UT), ask us anything!

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Scientifically, I think the closest I could get to understanding how what it's like to experience auditory hallucinations is to answer whether the schizophrenic brain "looks like" it's actually hearing something when they hear voices.

I flair'd this with Neuroscience, but it could also be Psych. I can only pick one :/

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Is there something similar to the glaube state as left and right hand eigenstate of the destruction and creaton operator of the harmonic qiantum oscillator?

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> As I understand it, the instantaneous requirement of the adjustment is to ensure that no state can be transmitted to non-local parts (the other measurement site) of the system in order to plug the loophole of locality in the interpretation of the results. I have also read that any possible hole in the source of randomness was plugged by driving the RNG from photon data from stars.. I’m curious on how that experiment specifically converted the photon data into a polarization (or, were they using something else than photos for the quantum measurement?)
> Do (m)any of the experiments rely on individual photos (or other particles), such that there is no stable waveform established in the system for a time longer than (distance between sites)/c? Is this not a requirement to plug that loophole? What kind of polarizer or dynamically adjustable measurement device is used in these cases?

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I'm currently on a hike and my friends have found about 1-3 ticks each while I've found 17 and an hour later another 15. Is there a reason that ticks seem to 'love' me much more than my friends?

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Moderator of r/askscience

Welcome to our weekly feature, Ask Anything Wednesday - this week we are focusing on Economics, Political Science, Linguistics, Anthropology

Do you have a question within these topics you weren't sure was worth submitting? Is something a bit too speculative for a typical /r/AskScience post? No question is too big or small for AAW. In this thread you can ask any science-related question! Things like: "What would happen if...", "How will the future...", "If all the rules for 'X' were different...", "Why does my...".

Asking Questions:

Please post your question as a top-level response to this, and our team of panellists will be here to answer and discuss your questions.

The other topic areas will appear in future Ask Anything Wednesdays, so if you have other questions not covered by this weeks theme please either hold on to it until those topics come around, or go and post over in our sister subreddit /r/AskScienceDiscussion , where every day is Ask Anything Wednesday! Off-theme questions in this post will be removed to try and keep the thread a manageable size for both our readers and panellists.

Answering Questions:

Please only answer a posted question if you are an expert in the field. The full guidelines for posting responses in AskScience can be found here. In short, this is a moderated subreddit, and responses which do not meet our quality guidelines will be removed. Remember, peer reviewed sources are always appreciated, and anecdotes are absolutely not appropriate. In general if your answer begins with 'I think', or 'I've heard', then it's not suitable for /r/AskScience.

If you would like to become a member of the AskScience panel, please refer to the information provided here.

Past AskAnythingWednesday posts can be found here.

Ask away!

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I'm assuming it would not only require enough mass but maybe a magnetic field too. Could a large asteroid potentially have a very thin atmosphere? Thanks.

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I understand that it is safe to assume that an entire skeleton found in one place is most likely going to be one species, but if we just find a single bone, scale, or track, how do we know that said fossil belongs to a specific species?

An example of this is a video I had just watched explaining that in 2017 we found 'scales' that belonged to a T-Rex that could either prove or disprove feathers on them. It didn't really go into depth about how we know it belongs to a T-Rex though, so I was wondering how we know it belongs to the T-Rex, and not some other species that just so happens to be similar to the Rex.

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For example, if I were to hit a drum on earth and in space, would there be any difference in the vibrations of the drum ? Of course the sound wouldn't be heard in space because of the vacuum-like environment, but would the object still vibrate in the same way (frequency, amplitude, etc) ?

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Today I opened the window to my apartment for about 3 minutes. One bee got in, so I closed the window. The one that got in continuous made buzzing noises and hitting the glass window to get out, it died within 2-3 minutes. One minute later there's about 10 bees slamming into my window trying to get in. Did the trapped bee release some sort of stress signal that I can't observe?

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I am currently curious as to why we name most galaxies just numbers instead of giving them real names actually? It's honestly superior to know which galaxies are which when they're called the "Sombreo" galaxy or the "Pinwheel" galaxy similar as to how nearby stars have named like Centauri, Bernard's Star, Sirius etc

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