How can machine learning help you to analyze your microscopy images? Find out at the "Deep Learning for Microscopy Image Analysis" course at the @MBLScience in Woods Hole from Aug 21-Sep 5! Applications are due 🚨 May 18 🚨 Read on for more! πŸ‘‡ mbl.edu/education/advanced-r…
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To make the course accessible to a wide range of participants from diverse labs, the course is again free of tuition (including travel ✈️and housing🏠). Many thanks to @HHMIJanelia and @HHMINEWS for their generous support! πŸ™
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During 14 full days, we will have ample time for lectures, exercises, discussions, and project work. We will introduce you to deep learning and its applications to image denoising/restoration/translation, semantic and instance segmentation, object detection, tracking, and more!
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All you have to bring is a good understanding of python 🐍, enthusiasm to learn with fellow participants, sunscreen πŸ–οΈ, and... your own πŸ”¬ data to work on! πŸ‘‰ Our TAs will help you in the second week of the course to apply what you learnt to your data!

Apr 20, 2023 Β· 2:35 PM UTC

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Meet this year's faculty: Alexander Krull @sagzehn, Anna Kreshuk @ilastik_team, Carsen Stringer @computingnature, David van Valen @davidvanvalen, Florian Jug @florianjug, Jan Funke @janfunkey, LoΓ―c A. Royer @loicaroyer, Martin Weigert @martweig, and Shalin Mehta @mattersOfLight.
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We are looking forward to receiving your applications by May 18, and feel free to reach out to any of us with questions you might have! mbl.edu/education/advanced-r…
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