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340 search results for “machine” in the Student website

• Vending machines Other facilities

  Almost all university buildings have vending machines from which you can buy drinks, snacks and non-food products

• Non-food vending machine Lecture Hall

  Lecture Hall, Einsteinweg 57, 2333 CC, Leiden

• Non-food vending machine Lipsius

  Lipsius, Cleveringaplaats 1, 2311 BD, Leiden

• Non-food vending machine Snellius

  Snellius, Niels Bohrweg 1, 2333 CA, Leiden

• Non-food vending machine Huygens/Oort

  Huygens, Niels Bohrweg 2, 2333 CA, Leiden

• Non-food vending machine FSW building

  FSW building, Wassenaarseweg 52, 2333 AK, Leiden

• Non-food vending machine Schouwburgstraat

  Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague

• Non-food vending machine Van Steenis

  Van Steenis, Einsteinweg 2, 2333 CC, Leiden

• Non-food vending machine Plexus

  Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden

• Non-food vending machine Wijnhaven

  Wijnhaven, Turfmarkt 99, 2511 DP, The Hague

• Non-food vending machine KOG

  Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden

• Non-food vending machine University Library

  University Library, Witte Singel 27, 2311 BG, Leiden

• Non-food vending machine University Campus Spui

  University Campus Spui, Spui 5, 2511 BL, The Hague

• Machine Learning: Linguistic Cues for Arabic Authorship Analysis Event - 7 April 2026

  Middle East Studies Lecture

• Non-food vending machine Anna van Buerenplein

  Anna van Buerenplein, Anna van Buerenplein 301, 2595 DG, The Hague

• Pilot: recycling machines at the university Announcement - 4 September 2025

  Facility

• This platform is making machine learning more transparent and accessible News - 21 July 2025

  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.

• 
  Andreas Paraskeva PhD candidate

  Faculty of Science

• 
  Sietse Schröder
• Machine-learning competition on forecasting depression in young adults Announcement - 12 January 2026

  Research

• 
  Björn van Zwol PhD candidate

  Faculty of Science

• 
  Frans Rodenburg Lecturer

  Faculty of Science

• 
  Wouter van Loon Guest

  Faculty of Social and Behavioural Sciences

• Phased replacement of coffee and vending machines (23 February – 12 March) Announcement - 12 February 2026

  Facility

• Oat milk from the vending machine: a pilot on six locations Announcement - 3 September 2025

  Facility

• 
  Anna Dawid-Lekowska Assistant professor

  Faculty of Science

• 
  Chenyu Shi PhD candidate

  Faculty of Science

• 
  Christos Athanasiadis Lecturer

  Faculty of Science

• Vidi grant for Angus Mol: ‘Historical games are like time machines’ News - 28 July 2022

  How do games help shape our perception of the past? Associate Professor Angus Mol receives a Vidi grant to answer this question.

• Speak up where it will help, not just at the coffee machine News - 10 October 2023

  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…

• 
  I-Fan Lin PhD candidate

  Faculty of Science

• 
  Fatemeh Mehrafrooz Mayvan PhD candidate

  Faculty of Science

• 
  Fabrizio Corriera PhD candidate

  Faculty of Science

• 
  Philipp Kropf PhD candidate

  Faculty of Science

• 
  Mathieu Cherpitel PhD candidate

  Faculty of Science

• 
  Julia Wasala PhD candidate

  Faculty of Science

• Teaching Machines to Learn Event - 8 April 2025

  Lecture, Tuesday Talks: Science Insights

• 
  Diego Barbosa Arize Santos Guest

  Faculty of Social and Behavioural Sciences

• 
  Rahul Bandyopadhyay PhD candidate

  Faculty of Science

• 
  Guilherme D'Andrea Curra
• 
  Gerard van Westen Professor

  Faculty of Science

• 
  Yifan Wang PhD candidate

  Faculty of Science

• 
  Kiana Shahrasbi PhD candidate

  Faculty of Science

• 
  Tom Kouwenhoven Postdoc

  Faculty of Science

• 
  Surendra Balraadjsing PhD candidate

  Faculty of Science

• 
  Alex Brandsen Postdoc

  Faculty of Archaeology

• 
  Michael Lew Professor

  Faculty of Science

• Satellite data and algorithms reveal which ships emit excessive nitrogen News - 22 November 2024

  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.

• Technology and the State: Enlightenment Language Machines, Then and Now Event - 13 March 2026

  Lecture, Research Seminar Medieval and Early Modern History

• Giant Robots, Big Ideas - Exploring the World of Mecha in Japanese Animation Event - 28 April 2026