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856 search results for “learning analysis” in the Staff website

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

  Middle East Studies Lecture

• 
  Fabrizio Corriera PhD candidate

  Faculty of Science

• 
  Md Faysal Tareq PhD candidate

  Faculty of Science

• Functional MRI Analysis (Basics) Course

• 
  Bertram de Boer PhD candidate / guest

  Faculty of Science

• Meta-analysis Course

• 
  Tom Wilderjans Associate professor

  Faculty of Social and Behavioural Sciences

• 
  Guilherme D'Andrea Curra PhD candidate

  Faculty of Archaeology

• 
  Vincent Croft Postdoc

  Faculty of Science

• Staff Association: Workshop Color Analysis Event - 7 March 2026

  Personeelsvereniging

• Staff Association: Workshop Color Analysis Event - 12 March 2026

  Personeelsvereniging

• 
  Marcel de Jeu Associate professor

  Faculty of Science

• 
  Marinko Bobic Lecturer

  Faculty of Governance and Global Affairs

• 
  Martina Chirilus-Bruckner Assistant Professor

  Faculty of Science

• 
  Guilherme Perin Lecturer

  Faculty of Science

• 
  Pieter Kroonenberg Professor by Special appointment emeritus

  Faculty of Social and Behavioural Sciences

• 
  Luc Sträter PhD candidate

  Faculty of Science

• 
  Marijn Prins PhD candidate

  Faculty of Science

• 
  Arjen Doelman Professor

  Faculty of Science

• 
  Hermen Jan Hupkes Professor

  Faculty of Science

• 
  Maryam Alqassab Assistant professor

  ICLON

• 
  Joost van Ginkel Assistant professor

  Faculty of Social and Behavioural Sciences

• 
  Elise Swart Assistant professor

  Faculty of Social and Behavioural Sciences

• Blended learning Course

  Didactics

• Blended learning Humanities ICT and education

  Blended learning is a well-thought-out mix of online and on-campus learning, tailored to the learning objectives, the curriculum and the student. It contributes to the student’s learning experience and the quality of teaching.

• Blended learning Social and Behavioural Sciences ICT and education

  Blended learning is a well-thought-out mix of online and on-campus learning, tailored to the learning objectives, the curriculum and the student. It contributes to the student’s learning experience and the quality of teaching.

• Blended learning ICT and education

  Blended learning is a well-thought-out mix of online and on-campus learning, tailored to the learning objectives, the curriculum and the student. It contributes to the student’s learning experience and the quality of teaching.

• 
  Yolinde van Paridon Skills lecturer

  Faculty of Social and Behavioural Sciences

• 
  Matthias Müller-Brockhausen Lecturer

  Faculty of Science

• 
  Julia Wasala PhD candidate

  Faculty of Science

• Flexible learning pathways

  Flexible learning pathways are one of the ambitions of our vision on teaching and learning (Learning@LeidenUniversity).

• Learning Experience Design Course

  Didactics

• Activating teaching and learning

  Activating teaching and learning is one of the ambitions of our vision on teaching and learning (Learning@LeidenUniversity).

• 
  Ella Has PhD candidate

  Faculty of Science

• Tools for interactive learning ICT and education

  Active learning is one of the ambitions mentioned in the University’s educational vision (Learning@LeidenUniversity).

• Active Learning Classrooms

  If you want your students to be actively involved in your lecture or tutorial, book an Active Learning Classroom!

• 
  Michael Lew Professor

  Faculty of Science

• 
  Siuman Chung Lecturer

  Faculty of Social and Behavioural Sciences

• 
  Suzanne Mol Assistant Professor

  Faculty of Social and Behavioural Sciences

• Active learning spaces

• 
  Vivi Rottschäfer Associate professor

  Faculty of Science

• 
  Sander Hille Assistant professor

  Faculty of Science

• 
  Harold Nefs Assistant Professor

  Faculty of Social and Behavioural Sciences

• 
  Sarah Plukaard Assistant Professor

  Faculty of Social and Behavioural Sciences

• 
  Mart Mojet Postdoctoral researcher

  ICLON

• 
  Marit Guda Lecturer

  Faculty of Social and Behavioural Sciences

• 
  Sietse Schröder PhD candidate / self funded

  Faculty of Science

• 
  Chloe Hong PhD candidate

  ICLON

• 
  Andreas Paraskeva PhD candidate

  Faculty of Science

• 
  Xiaomei Wei PhD candidate

  ICLON