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DTSTART;TZID=Europe/Berlin:20250717T110000
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SUMMARY:Your PhD in 30 Seconds: Science Communication Workshop
DESCRIPTION:Date: Thu. July 17, 2025\nEvent: Your PhD in 30 Seconds: Science Communication Workshop\nOrganizer: EELISA (FAU)\nSchedule\n• 11:00 – 11:30H: Welcome and intro on science communication\n• 11:30 – 12:00H: work on your 30 second-presentation\n• 12:00 – 12:30H: presentation + feedback\n• 12:30 – 13:00H: Lunch and networking\nRegistration\nRegistration is free but mandatory.\nApplication deadline: July 07, 2025, EOD\nMax. attendance: 20 people\nRegistration link: https://www.eelisa.fau.de/innovation/phd-30s/\nAudience\nPhD students. This workshop is for you if:\n• You are doing your doctorate at an EELISA university?\n• You can explain your research to your fellows, but it’s hard to explain it to lay people?\n• You are eager to learn what PhD students from other faculties or other universities are doing?\n• You would love to get some feedback, in give feedback to others?\nWHEN\nThu. July 17, 2025 at 11:00H – 13:00H (Berlin time)\nWHERE\npanOPTIKUM (see map)\nPaul-Gordan-Straße 6\n91052 Erlangen – Röthelheimpark, Germany.\nUseful information\n• Language: English\n• Application deadline: July 07, 2025, EOD\n• Depending on applications, we will select up to two participants per EELISA partner on a “first come, first serve”-basis.\n• Please clarify BEFORE your application with your local EELISA-team, whether they can assist you with travel expenses.\nThis event @LinkedIn\nSee more about EELISA at FAU\n\nContact\n• Melanie Viebahn – EELISA project manager @FAU – contact for organisational and technical issues\n• Iman Hamadi – founders support office @FAU\n• Johanna Hojer – EELISA Communication Pro\n• Immanuel Reinschlüssel – FAU Communication Pro\nThis event @EELISA – in collaboration with SPUK and the Start-up Consulting Team\nYou might like:\n• FAU MoD Lectures\n• Upcoming events\n• JLU/FAU workshop (Erlangen/Jilin): Workshop on Recent Trends in Applied Mathematics and Machine Learning 2025\n• JLU short-course: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by Prof. Dr. Enrique Zuazua\n• FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry by Prof. Dr. Andreas Görling\n• FAU MoD Lecture: AI for maths and maths for AI by Dr. François Charton\n• FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? by Prof. Dr. Lars Grüne\n• FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes by Prof. Dr. Ana Martin-Villalba\n• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu\n• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär\n• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert\n• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino\n• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer\n• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein\n• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz\n• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger\n• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat\n• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi\n• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli\n• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function  by Prof. Dr. Alfio Quarteroni\n• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?  by Prof. Dr. George Karniadakis\n• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda\n• FAU MoD Lecture:  Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen\n• FAU MoD Lecture:  Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic\n_\nDon’t miss out our last news and connect with us!\nLinkedIn | Bluesky | Instagram | YouTube | X (Twitter)\n
URL:https://mod.fau.eu/events/eelisa-your-phd-in-30-seconds/
ORGANIZER;CN=EELISA:MAILTO:
CATEGORIES:EELISA,Seminar/Talk,Workshop
LOCATION:Erlangen - Bavaria, Germany
ATTACH;FMTTYPE=image/png:https://mod.fau.eu/wp-content/uploads/FAUMoD_EELISA_workshopPhD30secs_17jul2025_img.png
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