385 search results for “machine” in the Staff website
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Vending machines for hot drinks and snacks
All the University’s locations have vending machines for hot drinks and snacks. As a staff member, you can buy a card for paid drinks machines. You can choose for a unit card.
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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 Huygens/Oort
Huygens, Niels Bohrweg 2, 2333 CA, 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 Plexus
Plexus Student Centre, Kaiserstraat 25, 2311 GN, 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 Lipsius
Lipsius, Cleveringaplaats 1, 2311 BD, 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 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 Pieter de la Court
Pieter de la Court, Wassenaarseweg 52, 2333 AK, Leiden
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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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Theory of Mind in Language, Minds and Machines: a Multidisciplinary Approach
PhD defence
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Andreas ParaskevaScience
- Coffee machines out of order in KOG Building
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No more disposable cups at the Van Steenis coffee machines
Facility
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Frans RodenburgScience
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Leiden Classics: Bibliotheca Thysiana, a 17th century time machine
From once controversial scientific works and historical bibles, to personal shopping lists and clothing bills. The 17th-century Bibliotheca Thysiana and the archive of the collector Johannes Thysius exhibit both the intellectual and everyday life as it was three hundred years ago. Now a brand-new digital…
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Wouter van LoonFaculteit der Sociale Wetenschappen
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From 15 November onwards, no more disposable cups at the hot beverage machines
Organisation
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The BIAS project at the Applied Machine Learning Days in Lausanne, Switzerland
The Applied Machine Learning Days AMLD is a global platform that brings together experts and participants from over 40 countries across industry, academia, and government in the field of Machine Learning. In this year’s edition, members of the BIAS project organized a track around the topic Fairness…
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Anna Dawid-LekowskaScience
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Fatemeh Mehrafrooz MayvanScience
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I-Fan LinScience
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Philipp KropfScience
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Chenyu ShiScience
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Simon MarshallScience
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Vidi grant for Angus Mol: ‘Historical games are like time machines’
How do games help shape our perception of the past? Associate Professor Angus Mol receives a Vidi grant to answer this question.
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Speak up where it will help, not just at the coffee machine
For five years, Pauline Hutten put her heart and soul into the Faculty Council of the Faculty of Governance and Global Affairs (FGGA), but a short time ago, she handed over the baton to Sanneke Kuipers, who is now Chair. We met up with them both for a joint interview about the importance of particip…
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Tom KouwenhovenScience
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Julia WasalaScience
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Surendra BalraadjsingScience
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Rahul BandyopadhyayScience
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Quantum machine learning
PhD defence
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Nurbolat KenbayevScience
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Guilherme D'Andrea CurraFaculteit Archeologie
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Rayyan ToutounjiFaculteit der Sociale Wetenschappen
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Diego Barbosa Arize SantosFaculteit der Sociale Wetenschappen
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Machine Translation Literacy for (language) teachers
Workshop
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Gerard van WestenScience
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Quantum Machine Learning For Industrial Applications
PhD defence
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Machine learning for radio galaxy morphology analysis
PhD defence
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Efficient Tuning of Automated Machine Learning Pipelines
PhD defence
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Printing, scanning and copying
Within Leiden University you can copy, scan or print using so-called multifunctionals. These large copying machines are available at all university locations. Every machine comes with a short description of how it works. The multifunctionals are operated by the General Services Department (UFB).
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Alex BrandsenFaculteit Archeologie
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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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Computational speedups and learnability in quantum machine learning
PhD defence
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Machine Learning and Computer Vision for Urban Drainage Inspections
PhD defence
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Reliable and Fair Machine Learning for Risk Assessment
PhD defence