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Jesús Pineda: ”Inductive Biases for Efficient Deep Learning in Microscopy”

Science and Information Technology

Dissertation in Natural Science, specialization in Physics.

Dissertation
Date
11 Nov 2025
Time
09:00 - 12:00
Location
Hall SB-H7, Sven Hultins gata 6, Gothenburg

Titel

Inductive Biases for Efficient Deep Learning in Microscopy”

Opponent

Anna Kreshuk, PhD, Group leader at University of Heidelberg and EMBL (European Molecular Biology Laboratory) & Acting Deputy of the Head of the Cell Biology and Biophysics Institute (EMBL), Heidelberg, Germany

The examination board

  • Assistant professor Juliette Griffié, Department of Biochemistry and Biophysics, Stockholm University (DDLS Fellow).
  • Daniel Sage, PhD, Research Engineer, Biomedical Imaging Group (BIG),
    École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
  • Professor Daniel Persson, Department of Mathematical Sciences, University of Gothenburg and Chalmers University of Technology, Gothenburg

Alternate board member

Senior Lecturer Jonas Enger, Department of Physics, University of Gothenburg

Chair

Professor Raimund Feifel, Department of Physics, University of Gothenburg