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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); 26 Sep ’25 published
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- Erasmus University Rotterdam (EUR); Rotterdam
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Field
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-molecule techniques, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure of quite some
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of 3D virtual humans (i.e., gesture, eye gaze, face). Good critical thinking and collaboration skills.What we offer youA challenging position in a scientifically engaged organisation. At the MPI, you
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of 3D virtual humans (i.e., gesture, eye gaze, face). Good critical thinking and collaboration skills.What we offer youA challenging position in a scientifically engaged organisation. At the MPI, you
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; experience with theory driven research with a clear eye for practical implications; a clear interest in collaborative interdisciplinary research; the ability to manage collaborations with partners outside
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of 3D virtual humans (i.e., gesture, eye gaze, face). Good critical thinking and collaboration skills.What we offer youA challenging position in a scientifically engaged organisation. At the MPI, you
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into this environment are invited to apply. Experience in fields such as microfabrication, nanofabrication, biophysics, single-molecule techniques, synthetic cells, and optical imaging is welcomed. We foster diversity
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international level. Candidates that fit into this environment are invited to apply. Experience in fields such as NPC, DNA origami, IDPs, MINFLUX, biophysics, single-molecule techniques, and optical imaging is
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academic publications, preferably in top tier peer-reviewed journals; - experience with theory driven research with a clear eye for practical implications; - a clear interest in collaborative
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. These Erasmian Values function as our internal compass and create EUR’s distinctive and recognizable profile. From these values, with a broad perspective and with an eye for diversity, different backgrounds and
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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space