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tolerant spotsize converters for Photonic Integrated Circuits. Validate models through experiments and enable fast and accurate design Collaborate closely with process, PDK, and PIC design teams and
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activities within the Department of Clinical Psychology (approximately 10% of your appointment). Where to apply Website https://www.academictransfer.com/en/jobs/362820/phd-mental-imagery-in-mood-diso
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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performing experiments and numerical modeling of plasmas to quantify, for instance, the radiative properties of the plasma, how many fast-moving ions are produced, as well as the efficiency of converting input
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statistical, machine learning, probabilistic modelling and signal processing techniques to longitudinal wearable sensor datasets. • Collaborating with clinicians, data scientists, engineers, researchers
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novel organic photocatalysts tailored to these processes. The development of these photocatalysts will be supported by theoretical modelling and AI-based tools in close collaboration with a project
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national and international conferences; Active participation in activities of the department; Teaching (max. 10% of your time). Where to apply Website https://www.academictransfer.com/en/jobs/362638/phd
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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structural glycoproteomics. For development and translational research we make use of patient samples and models with defined genetic and/or biochemical defects that require structural glycoproteomics
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coupled-cluster (EOM-CC) theory with periodic DFT (pbcEOM-CC). To quantify spin-phonon couplings of spins on surfaces—the bottleneck to modeling spin relaxation—we will develop a new approach using pbcEOM