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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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team dedicated to advancing high-throughput, data-driven multi-omics research in pediatric hematological malignancies. The group is affiliated with the Division of Pediatric Hematology and Oncology
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will be tested and verified with applications from geodynamics. For more information consider the job description here . Tasks Tasks in the project include the efficient implementation of new models
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spectroscopic or microscopic methods and subsequent optimization Advancements of experiments, measuring methods and measuring technology and improvement of experimental equipment Presentation of results
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and statistics, as well as an advanced seminar course that covers recent research in neuroengineering materials (all taught exclusively in English). If you are interested in developing your teaching
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field of additive manufacturing of metallic structures. The main focus is on developing and characterizing metallic high-performance materials for/through additive technologies by means of experiments and
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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at local, regional, national and European scales across the terrestrial, freshwater and marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models
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. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology