Matteo Dal Peraro
@matteodp
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Biophysicist and Professor of Life Sciences at EPFL (École Polytechnique Fédérale de Lausanne) @EPFL_en @EPFL, School of Life Sciences @epflSV.
Lausanne, Switzerland
Joined May 2010
Last week to apply ;)
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Yes, we finally cracked it at high resolution. Wonderful collaboration. Kudos to Jana and Ioan and the team!
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@ben808080 @chancao123 Yes, we finally cracked it at high resolution. Wonderful collaboration. Kudos to Jana and Ioan and the team!
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Our method for protein sequence prediction is out. "Context-aware geometric deep learning for protein sequence design" - check it out at Kudos to Lucien @lucien_krapp and the team @FATPMeireles, @labriataphd, Maria and Sarah.
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There is a new opening at our school @epflSV in the field of BioE. Apply to join us
Job opening! new Tenure Track Assistant Professor in Life Sciences Engineering. ℹ️ #hiring #lifesciencesengineering #facultyposition
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yes! apply and join us in Lausanne
Please RT!!! Together with @PilarCossio2 @matteodp and Maya Top, we are organising a spectacular @cecamEvents workshop on "Macromolecular complexes: from ab initio and integrative modelling to functional dynamics". deadline for applications is July 15!
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RT @Beatfierz: Come and join us @EPFL! If you are working on the development of green chemistry methods, in particular via rational design…
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RT @epflSV: With @epflSB we are hiring a tenure-track professor of #SustainableBiosynthesis Areas of interest include ➡️green chemistry me…
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Nice opportunity at @EPFL. In case you want to apply AI to structural biology, contact me
New *call for postdoctoral fellows* for those who want to advance science with machine learning and combine their own ideas and projects with collaboration with laboratories @EPFL that excel in the development and applications of ML tools for sciences.
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If you are thinking about a postdoc in Switzerland, consider to apply to the SNSF Postdoc Fellowships 2022 aimed at early-career researchers. Excellent financial conditions and great scientific community. Our lab would be happy to support your application:
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Two new methods from the lab now available as preprint: -PeSTo: an accurate way to predict protein interacting interfaces using transformers -MaD: a robust method to fit models on cryoEM data Check them out
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@frstella @SebastianMaerkl @simone_giaveri @EPFL_en @ERC_Research Congrats! But you should have posted the video, which is much more insightful ;)
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@MBlokesch @ETH_Rat @epflSV @EPFL_en @nataliadorr @vesel_nina @LeonardoFilipeL @NoemieMatthey @Lisi_Metzger @CVanderHenst1 @rasmusmarvig @vishwachi_95 Great news Melanie !! Congratulations 🎉🍾
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