Magalon
@magalon_lab
ID: 935239032623325185
27-11-2017 20:08:56
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We, JEnderlein, Tao Chen developed a method based on MIET and FCS to measure nm-scale membrane fluctuations at μs timescales. These measurements will reveal cellular health, mechanical properties, and biological processes. Rosalind Franklin Institute Uni Göttingen, link below.
Our meeting of #Inorganic and #Bioinorganic #Chemistry is almost here! 👉 #2024IBiCC 📅: May 16 - 18, 2024 🌏: Lisboa 🇵🇹 2024ibicc.events.chemistry.pt SPQ LAQV REQUIMTE Faculdade de Ciências e Tecnologia | NOVA FCT
Excited to announce the beta release of our new MicrobiomeDB R package! This package is intended to be companion to our MicrobiomeDB website and provides convenient, programmatic access to all of our curated 16S and shotgun metagenomic datasets. #microbiome #rstats #dataviz
A fully funded (3 year) PhD position is available in my group. The project will focus on analysing how synergistically interacting bacteria coevolve. Join my vibrant group at Uni Osnabrück. Please RT Deadline: 28.07.2024 More information👇 shorturl.at/5ZP7R
Job opportunity in my tiny group at Uniwersytet Jagielloński 🇵🇱Join us as a postdoc in a venture for structure-function of the respiratory chain of #thermoacidophiles 🦠 in the Narodowe Centrum Nauki funded project. Details are here: tinyurl.com/sulfolobus #postdocposition #cryoEM Please RT
So happy to share this work concerning the main topic of my researches. I am truly grateful to all the collaborators and scientists captivated by this area of research! Valerie Belle Annalisa Pierro Magalon #CNRS #universiteAMU pubs.acs.org/doi/10.1021/ac…
Registration for the GDR APPICOM in beautiful Carry-le-Rouet (next to Marseille) is now open. Join us to discuss membrane proteins Nov 25-27th. appicom.cnrs.fr/reunions-pleni… GdR_APPICOM
Out at Nature Methods just now! nature.com/articles/s4159… We present #SN2N, a flagship level unsupervised denoising solution. It’s fully competitive with supervised learning without needing large training-set and clean ground-truth, using 1 noisy frame for training. (1/n)