34 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Delft University of Technology (TU Delft) in Netherlands
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet. We believe quantum technology
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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 Join TU Delft in advancing the understanding of materials ageing
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and written English and the ability to work independently are expected. Note that a minimum TOEFL score of 100 or IELTS of 7.0 applies to all candidates wishing to pursue a PhD programme at TU Delft. TU
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Application Deadline 23 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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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 Join us in developing zero-emission synthetic inertia with BESS
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Bring segregation theory and models to industrial practise. Job
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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 Passionate about sustainable steel production? Join us in
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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