#introduction toot - I'm an assistant prof. of sociology at the University of Haifa. I study #algorithms / #data / #AI from a qualitative, critical, empirical perspective.
My current projects include algorithmic production in #SiliconValley, data #infrastructures in Israel, Israeli #surveillance firms, #aiethics, #microbiome science, and more.
In a previous life, I also wrote about #ptsd, online #depression, #emotions, and more.
Oh, and this 👇 is Bella.
Hello everyone! I recently build my personal cum academic website with owlstown, and I have to say it's super easy and intuitive! Here's the link: https://swetabiox.owlstown.net
Do have a look and feel free to leave any comments if you have!
(It's not fully done, BTW 😅)
#science #PhD
I had a great first week at work at the Leibniz Institute for Analytical Sciences - ISAS! Great work atmosphere and colleagues, and a really cool boss (Jianxu Chen) are among some of the perks. Looking forward to many more meaningful weeks and projects!
#DeepLearning #bioimageanalysis #machinelearning #PhD
Just a couple of hashtags to attract like minded people to hang out on #mastodon :
#deeplearning #MachineLearnning #medicalimaging #BioImageAnalysis #math #statistics .....
Folks, if you work with above topics ( and science in general), I'd love to follow you!
I released a blog post on simplifying theory behind neural networks, this chapter is specifically on CNNs
https://merveenoyan.medium.com/complete-guide-on-deep-learning-architectures-chapter-1-on-convnets-1d3e8086978d
RT @PiratePeel@twitter.com
Please share! I have a vacancy for a PhD student on my @NWO_Science@twitter.com VIDI project. Deadline December 5th.
Are you interested in developing statistical methods for analysing dynamic complex systems? Join us @data_um@twitter.com @umsbe@twitter.com
https://www.academictransfer.com/en/320231/phd-in-network-science/ #complexNetworks https://twitter.com/PiratePeel/status/1590765811253514241
🐦🔗: https://twitter.com/PiratePeel/status/1593559952299270148
I'm a PhD candidate at Radboud University Medical Center in the Netherlands. I work with chest CT scans and build deep learning algorithms for early lung cancer detection.
I also volunteer as an editor for @thegradient!
Glad to be here on Mastodon.
Hi all, here is a curated lists of academic accounts on Mastodon by discipline. Kindly spread the word.
https://github.com/nathanlesage/academics-on-mastodon
#Introduction:
I'm Robin and still figuring this thing out 👋
Currently finishing my PhD in #ComputationalNeuroscience @ FZ-Juelich, Germany
Trying to understand #brain mechanisms like #cortical #wave dynamics, e.g. via statistical network comparisons
Science needs collaboration and collaboration needs #open-source tools
Spending too much time fine-tuning data visualizations
#dataviz
Passionate about approaching scientific questions via #brainart
Sometimes entertaining a blog at rgutzen.github.io
Biology-inspired terms and analogies are very common in #MachineLearning ("A.I."), but they are far more misleading than helpful, rather wrong than right. So, better don't use them at all!
--> New blog post:
https://medium.com/@f.huber/stop-using-biological-analogies-to-describe-ai-its-99-999-wrong-81e71eb6ef30
Still new to Mastodon.
Switched Servers once (fosstodon.org seemed nice at first, but I post in English and German, occasionally in Dutch as well). If you have any hints on which servers work fast, which work slow, etc.... let me know.
I work in #datascience #opensource #openscience #cheminformatics #latentspace #nlp #Python mostly. Currently with a lot of teaching as well.
So, trying to figure out where all the epidemiologists are. I see them here and there on this site, but there is nothing like #epitwitter yet. If you see an epidemiologist wandering around Mastodon, send them my way!
Let’s try this again. Where you at #fediverse? Boosts welcome so we can get the best sample size.
I am computer science professor in machine learning for imaging at Imperial College London. Primarily working on medical imaging applications and interested in anything related to ML robustness, fairness, causality.
Since all the cool kids are doing it, here’s my #introduction
I’m an Assistant Professor of Public Administration at VU Amsterdam. My research focuses broadly on public and nonprofit management with a focus on science and technology. I’m also a big ol’ design nerd and currently exploring how UX design principles shape digital citizen-state interactions.
More about me here: www.kaylaschwoerer.com
Find published and working papers here: https://www.researchgate.net/profile/Kayla-Schwoerer
Hey #neuroscience #neurotech #neurodon
I'm very excited about a truly distributed community for #neuroscience.
Let's make it easier for new folks (and #twitterexodus #twittermigration) folks to plug into the #neurodon community!
Please add your Mastodon information to this importable community list: https://forms.gle/sWZyxMGsNefy3kzr5
How to migrate from one Mastodon server to another without losing followers:
1. Sign up on new server
2. On NEW server: Go to Account -> Moving FROM another account
3. Enter old account's handle
4. On OLD server: Go to Account -> Moving TO another account
5. Enter new account's handle and submit
Hi, I'm Kate, currently a postdoc in Roland Fleming's lab in Giessen. Starting my own lab at the University of Auckland at the end of this year!*
I'm interested in perception, and especially how brains come to understand the world through their tangles of sensory streams, none of which provide "ground truth". Mostly taking unsupervised deep learning approaches to vision.
*Mastodon exclusive, haven't got around to announcing on Twitter yet 😅
Belated #introduction: I am interested in open-endedness and reinforcement learning research. I'm an Associate Professor at the UCL Centre for AI where I am a PI for the UCL DARK (https://dark.cs.ucl.ac.uk/) lab with @egrefen (some of our students are here as well @LauraRuis @minqijiang @mika) and collaborate closely with @jnf. At DeepMind, I am leading the Open Endedness Team (follow @jparkerholder).
PhD student at the Leibniz Institute for Analytical Sciences - ISAS, Dortmund, Germany | Deep learning for bioimage and medical image analysis | Applications of deep learning in genetics/bioinformatics | Coffee addict | Nature lover