lucasmiranda42
@lucasmiranda422
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Our beloved DeepOF is finally out! A Python package to detect behaviors in both supervised and unsupervised ways, with thorough docs and tutorials. It's been a pleasure to share this journey with @joeribordes, @MathiasVSchmidt, Bertram Müller-Myhsok, and many others!
Ever wondered if there is more to behavior than the location of the animal? Looking for a fast and easy way for in-depth behavioral analysis in any of your top-down experimental videos? We present 🎉DeepOF🎉 just out in @NatureComms
https://t.co/y88nnO7Jci
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We're hiring! My new group at @ETH_en has the following opening: "PhD Position in Medical AI and Foundation Models" More details here: https://t.co/JgWAQMugj9 Please share & repost widely!
Finally, it's official: I will join @ETH Zurich as an assistant professor!! My group will be part of the beautiful @ETH_BSSE department (see new building below right). Our group will focus on medical foundation models, multimodality, retrieval augmentation, dataset and
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Register now for the Personalised Health Conference at D-BSSE in Basel on 13-14 March with keynote talks by Adrian Egli (@AppliedMicrobi2), @Slack1Emma, and @jacquesfellay. Registration deadline: 3 March! @mlfpm_itn Thanks for sharing! > https://t.co/LWeH0v4ATt
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We are excited to host Prof. Jenna Wiens during her sabbatical! Join us for her inaugural lecture tomorrow (Wednesday March 6) at 17:00 @MPI_Biochem, followed by a reception.
#AI scientist Jenna Wiens will join our institute for her research stay after winning the #CarlFriedrichvonSiemens Research Award! ❕Make sure to join us for her inaugural talk on Wednesday, March 6th at 5pm! @kmborgwardt @MLSB_Borgwardt @UofMPress
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Everyone is welcome to this event @MPI_Biochem, celebrating Jenna Wiens' inaugural lecture! March 6, 17:00, large lecture hall @MPI_Biochem @AvHStiftung
We are excited to host Prof. Jenna Wiens during her sabbatical! Join us for her inaugural lecture tomorrow (Wednesday March 6) at 17:00 @MPI_Biochem, followed by a reception.
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New paper published at IEEE ICDM 2023! Joint work with @kmborgwardt. We develop two novel algorithms to control the false discovery rate in significant pattern mining, allowing to obtain higher statistical power compared to existing methods. Paper:
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Don't miss out if you're interested!
My first course @LMU_Muenchen (at least since 2007!): I will be teaching a block seminar on #MachineLearning and #SystemsBiology on January 16 and 17, 2024. Master students of #biochemistry can sign up via https://t.co/eR6EpXRC7q… by Dec 15 @GeneCenter_LMU
@MLSB_Borgwardt
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The time has come to move on and pass the baton. We're looking for a new lead developer for DeepOF! Details for the fully funded postdoc position in the Max Planck Institute of Psychiatry in Munich are available in the quoted tweet. Do reach out if you have any questions!
New postdoc position @mpi_psychiatry , in collaboration with my group. We are looking for a new lead developer for our python package DeepOF. 👇👇 https://t.co/hmycnCqe4L Please spread the word 🙏
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📢 Opportunity Alert!🧠 ⭐️Apply for our fully funded #PhD Positions in #Neuroscience & Translational #Psychiatry in Munich 📝 at https://t.co/P5MBllTe5A ⏰ until 31st Oct, 2023. ❔ https://t.co/qXUPPsKyIy ❔ https://t.co/Dk5RyQpxxu
#PhDposition #hiring #research @mpi_psychiatry
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Looking for PhD students to join my project group at @MPI_Biochem in the Machine Learning and Systems Biology Department led by @kmborgwardt. We work at the intersection of graph pattern mining, structural biology and deep learning Apply here: https://t.co/6yEZAMPkNZ
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🚨 Out now! Our systematic review on the use of wearables in the context of multiple sclerosis. 👏🎉Congratulations to the co-first authors @timwoelfle and @lb_mpp @ETH_en! Fantastic collaboration with the team of Prof. @lkappos1 @UniSpitalBasel Generous funding: @snf_ch
📜 Excited to share our new systematic review on the use of wearables in the context of multiple sclerosis. 🎯 Continuous monitoring holds the promise of an personalized and optimized management of people with MS.
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The last talk from MLSB at #ISMBECCB2023 is Karsten's keynote in the #CAMDA track, in the top floor (Salle Roseraie) at 10:10 am today. @kmborgwardt @MPI_Biochem
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The Department on #MachineLearning and #SystemsBiology @MPI_Biochem in #Munich is hiring doctoral students and postdoctoral researchers. Official application links will follow shortly. DM if you are interested and attending #ISMBECCB2023 @AGKBorgwardt
https://t.co/JdF7KblMcz
biochem.mpg.de
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Tim Kucera is presenting our first project on #MachineLearning in protein research, https://t.co/CFzMkC2MZt, today at 2:20 in the 3DSIG session. #3DSIG #MachineLearning @AGKBorgwardt "ProteinShake: A Unified Framework for Deep Learning on Large Datasets of Protein Structures"
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Paolo is now presenting this work (at 11:10) in the NetBio session of #ISMBECCB2023 #NetBio #MachineLearning @AGKBorgwardt
New paper accepted at #ISMB with @Giulia_Muzio and @AGKBorgwardt! We develop a new pattern mining algorithm, which exploits biological priors to shape its search space, for discovering genetic markers that are statistically associated with a phenotype. https://t.co/cL9qkW65xy
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Oh wow! Looking forward to trying it out!
🔮Ever wished you could just say what behavioral analysis you wanted? ... "Plot the animal's trajectory" "Count the head hips in the open arm" 👀🪄we present AmadeusGPT🎻 to do this ... 🗞@shaokaiyeah @jessy_lauer @zhoumu53 @trackingplumes and me https://t.co/PAazDd3iXj 🧵⬇️
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Really excited with this new challenge! 😊
Our department is super happy about Dexiong Chen, Carlos Oliver @carlosgoliver, Lucas Miranda @lucasmiranda422 and Carlos Loucera @loucerac (as long term visitor) joining the lab @MPI_Biochem today! They were welcomed by the famous white-blue Bavarian summer sky 🙂
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Amazing work, congratulations!!!
🦓 Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in @Nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science. 📝 https://t.co/VmrRfy5V9B 💻 https://t.co/RsnRWqkbGs 🦓 https://t.co/zgxSGtOpav 🧵⬇️
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Interested in an overview of the current trends in stress neurobiology? You may find this one useful! With @joeribordes, Serena Gasperoni, and @JPablo_Neuro, we covered both the molecular and computational tools that are bringing the field forward.
Happy to share the 1st publication from our Lab @karolinskainst @StratNeuro Increasing resolution in stress neurobiology: from single cells to complex group behaviors @journal_stress Link to the article is in the message below.
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