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; an excellent background in bioengineering, biomaterials, hands-on experience of primary cell culture, organoids, or microfluidic systems; experience on or willing to learn anaerobic microbial cultivation and
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technological landscape continuously inspires innovation, are you keen to uncover the student perspective, and the implications of AI for meaningful student learning? Job description Delft University
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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, long development times, and the risk of toxicity against healthy tissue. At the heart of these challenges lies the TCR specificity problem: understanding how T-cell receptors (TCRs) recognize peptide
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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and high-speed microscopy with AI and machine learning to form stable liposomes from libraries of (novel) phospholipids that can robustly encapsulate cell-free gene expression systems. You will then
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an inclusive, collaborative research culture. What we ask of you You are a curious and rigorous researcher who enjoys learning across disciplines. You can translate an ambitious methodological idea into a
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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understand the inner workings of cells at the molecular level. The group houses an excellent infrastructure that includes more than a dozen state-of-the-art mass spectrometers, combined with cell culture
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models