246 search results for “machine” in the Student website
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Vending machines
Almost all university buildings have vending machines from which you can buy drinks, snacks and non-food products
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Non-food vending machine Lecture Hall
Lecture Hall, Einsteinweg 57, 2333 CC, Leiden
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Non-food vending machine Lipsius
Lipsius, Cleveringaplaats 1, 2311 BD, Leiden
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Non-food vending machine Snellius
Snellius, Niels Bohrweg 1, 2333 CA, Leiden
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Non-food vending machine Huygens/Oort
Huygens, Niels Bohrweg 2, 2333 CA, Leiden
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Non-food vending machine FSW building
FSW building, Wassenaarseweg 52, 2333 AK, Leiden
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Non-food vending machine Schouwburgstraat
Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague
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Non-food vending machine Van Steenis
Van Steenis, Einsteinweg 2, 2333 CC, Leiden
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Non-food vending machine Plexus
Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden
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Non-food vending machine Wijnhaven
Wijnhaven, Turfmarkt 99, 2511 DP, The Hague
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Non-food vending machine KOG
Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden
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Non-food vending machine University Library
University Library, Witte Singel 27, 2311 BG, Leiden
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Non-food vending machine University Campus Spui
University Campus Spui, Spui 5, 2511 BL, The Hague
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Non-food vending machine Anna van Buerenplein
Anna van Buerenplein, Anna van Buerenplein 301, 2595 DG, The Hague
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Pilot: recycling machines at the university
Facility
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This platform is making machine learning more transparent and accessible
What began as a PhD project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine learning more transparent, accessible, and fair.
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Andreas ParaskevaFaculty of Science
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Sietse Schröder -
Machine-learning competition on forecasting depression in young adults
Research
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Björn van ZwolFaculty of Science
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Frans RodenburgFaculty of Science
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Wouter van LoonFaculty of Social and Behavioural Sciences
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Phased replacement of coffee and vending machines (23 February – 12 March)
Facility
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Oat milk from the vending machine: a pilot on six locations
Facility
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Anna Dawid-LekowskaFaculty of Science
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Chenyu ShiFaculty of Science
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Christos AthanasiadisFaculty of Science
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I-Fan LinFaculty of Science
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Fatemeh Mehrafrooz MayvanFaculty of Science
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Fabrizio CorrieraFaculty of Science
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Philipp KropfFaculty of Science
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Mathieu CherpitelFaculty of Science
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Julia WasalaFaculty of Science
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Teaching Machines to Learn
Lecture, Tuesday Talks: Science Insights
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Diego Barbosa Arize SantosFaculty of Social and Behavioural Sciences
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Rahul BandyopadhyayFaculty of Science
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Guilherme D'Andrea Curra -
Gerard van WestenFaculty of Science
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Yifan WangFaculty of Science
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Kiana ShahrasbiFaculty of Science
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Tom KouwenhovenFaculty of Science
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Surendra BalraadjsingFaculty of Science
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Alex BrandsenFaculty of Archaeology
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Michael LewFaculty of Science
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Satellite data and algorithms reveal which ships emit excessive nitrogen
Ships are still emitting too much nitrogen oxide. Till now it has been impossible to measure this at sea, but that is set to change. Solomiia Kurchaba combined satellite data and developed algorithms to identify which ships are emitting too much. Kurchaba received her PhD on 11 June.
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Ruchella KockFaculty of Social and Behavioural Sciences
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Vincent CroftFaculty of Science
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Julian SteinkeFaculty of Social and Behavioural Sciences
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Jan van RijnFaculty of Science
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Vasilii BokovFaculty of Science