Kevin Menden

Software and Machine Learning Engineer

[AIRAmed @AIRAmed_GmbH]

Softwareentwickler/Webentwickler (w/m/d) gesucht!
Lust, die Zukunft mit KI zu gestalten? Und dich reizt ein neuer, spannender Wirkungskreis in einem Start-up mit Branchenfokus MedTech? Dann sollten wir uns unbedingt kennenlernen.
https://t.co/NfB32uBwCl
#Jobs #webdevelopment

[Sebastian Penhouet @s_penhouet]

Are you a student at the @uni_tue with skills in web development and looking for a job? We have an open job offer!
If you know someone who might be interested, please share.
#MedTech #AI #webdevelopment
https://t.co/x9ck95ZdJ7

[Oded Rechavi @OdedRechavi]

Evolution is amazing https://t.co/lqQSf7GTEM

[AIRAmed @AIRAmed_GmbH]

Das Tübinger #MedTech Startup AIRAmed entwickelt #ai -basierte Software, die Veränderungen im Gehirn messbar macht. Dadurch können Erkrankungen wie #Demenzen, z.B. #Alzheimer, #Parkinson oder auch #MultipleSklerose frühzeitig entdeckt und behandelt werden. https://t.co/G9ra7ft2hI

[Harshil Patel @aka_hpatel]

Incredible community effort getting this release out over the past year - this is what @nf_core is all about. @nextflowio DSL2 is defo the way ahead - sharing is caring 🍫👐♻️Still lots to do but this is a great start!

[Claudia Kemfert @CKemfert]

Interessante Analyse von @ZEW zu finanziellen Auswirkungen der Wahlprogramme: @CDU und @fdp reißen riesen Haushaltslöcher und verstärken soziale+ intergenerationale Ungleichheit, @Die_Gruenen, @spdbt @dieLinke entlasten Haushalt und Geringerverdiener, gilt auch für #Klimaschutz

[Kevin Menden @KevMenden]

@nf_core @sublimehq @nextflowio @peterkru This looks amazing 😍

[Olaf Ronneberger @ORonneberger]

Happy to announce that we will provide open source code for AlphaFold2!

[Tim Knopf @lokfuehrer_tim]

Deutsche Radinfrastruktur, Symbolbild.

[Elya Maurice Conrad @ElyaMConrad]

„Aber 🇩🇪 macht doch nur 2% der globalen Treibhausgasemissionen aus!“

Warum dieses Argument populistischer Schwachsinn ist? Ein #Thread

[Adam Gayoso @adamgayoso]

Excited to share a more formal look at our work on scvi-tools, in which we describe an overview of the codebase and new features. We hope scvi-tools will set a community standard for the deployment of probabilistic models in single-cell omics

https://t.co/4gK6MsLO3I

[Uri Cohen, PhD @UriCohen42]

Types of neuroscience papers

[Lukas Heumos @LukasHeumos]

Super excited to be announcing my very first first author preprint: https://t.co/ooI8e02Ln5. We tackled the reproducibility problem with GPUs in machine learning caused by non-deterministic algorithms and developed the https://t.co/LqucNu9Fax framework.

[Kevin Menden @KevMenden]

Making training and prediction with deep learning models fully reproducible can be a tricky task. Unless you use the https://t.co/YQU8SoAJ5T framework! Have a look at the pre-print: https://t.co/thGeQGoqVQ
Really cool project lead by @LukasHeumos
@QBIC_tue

[@PennMedBenchmarks @PennMedBench]

In a landmark study, researchers led by @ErikaHolzbaur @UPennPhysiology discovered & filmed the molecular details of how a cell, just before it divides in two, shuffles mitochondria to distribute them evenly to its two daughter cells https://t.co/JabtsBXw0A

[nf-core @nf_core]

Big news - the nf-core/tools package has just had v1.13 released! 📦🚀🌙

All @nf_core pipelines will have automated PRs to sync ♻️

There is so much amazing new stuff in here that's it's tricky to summarise, but we'll attempt it in this thread anyway 👇

https://t.co/gn2ehmC5UR

[nf-core @nf_core]

Today's @nf_core #bytesize talk will be all about CI - continuous integration tests 🎓 🧐 ❌

Hear @tallphil tell us about what these tests are for, how they work, and how to make lots of happy little green ticks ✅ ✅ ✅

Zoom + YouTube 13:00 CET - https://t.co/5aJg1sUjlQ

[nf-core @nf_core]

You've heard about how to write @nextflowio DSL2 modules for @nf_core but how can you use them in a pipeline? 🧐 Today at 13:00 CET @RikeHanssen and @KevMenden describe new best-practices for modules and submodules ☑️

Join on Zoom or YouTube. Details: https://t.co/l3q4apQmVK

[Papers with Code @paperswithcode]

🎉 Introducing... Datasets! We are now indexing 3000+ research datasets from machine learning. Find datasets by task and modality, compare usage over time, browse benchmarks, and much more! Explore the catalogue here: https://t.co/sST84xRiSd