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Field
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal of understanding biological systems in their entirety. The study of biomolecular systems poses
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for terrestrial and freshwater systems, derive the first Characterization Factors for plastic impacts on biodiversity beyond the ocean, and translate biomedical evidence into responsible early-stage human health
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during their doctoral studies. They design their own learning pathway by choosing from a broad portfolio of scientific and professional development opportunities. Core curriculum components include
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photonics are key technologies of the 21st century. They form, for example, the basis for today's optical communications, environmental sensing, biomedical diagnostics in the life sciences, energy-efficient
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning