104 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral research jobs in Netherlands
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- University of Groningen
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- Vrije Universiteit Amsterdam (VU); Amsterdam
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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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integrates OLA production of liposomes, trap arrays, local light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we
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Netherlands Application Deadline 2 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a motivated researcher with a strong background in power
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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or a related engineering field. Industry experience in the domain of engineering is a strong plus; Experience with bio-microfluidics engineering (Computer-Aided Design and micromilling), biosensing and
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is