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networking opportunities. TU Delft actively supports diverse career paths and provides a welcoming academic environment where everyone—regardless of background—can succeed. Topics of interest: Joint
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of different biosensors (Ca2+ indicators, force sensors), and CRISPR-Cas9 gene editing. Both positions include collaboration with research colleagues and support staff, both internally and within external
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digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid
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to improve ICOS data and products for better science and actionable policy. We are looking for a highly motivated candidate who will: Combine data from the ICOS measurement network, data from various
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, particularly Python Familiarity with Graph Neural Networks (GNNs). Experience with sensor calibration, fusion techniques, and real-time motion analysis preferred. Ability to work collaboratively in
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The cost of solar photovoltaics (PV) has significantly decreased over the past decade and PV is expected to play a central role in Europe’s transition to net-zero emissions by 2050. This PhD fellowship will
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transition to net-zero emissions by 2050. This PhD fellowship will analyse the role of PV to meet Norway’s and EU’s commitments under the Paris agreement. To do so the PhD researcher will use and further