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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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are of particular merit: Experience with organic (bio)electronics, implant design, and/or conducting polymers (ideally all areas of expertise listed) Experience with protein chemistry and investigation of enzyme
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degrees and universities at which they were obtained, a list of peer-reviewed publications (if any), and contact details of at least two reference persons. Certificates of degrees and undergraduate
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate