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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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. As a successful applicant, you will drive your own research, analyze NGS and other high-throughput data from patient cohorts and work on the development of improved NGS data analysis algorithms and
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successful applicant, you will drive your own research, analyze NGS and other high-throughput data from patient cohorts and work on the development of improved NGS data analysis algorithms and design novel
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
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communication methods and signal processing algorithms for future wireless technologies. We are looking for support in research projects on applications of 5G/6G-based communication technologies in robotics
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, and construction of optical systems in the laboratory Documentation and evaluation of experimental and simulation results Development and validation of machine learning algorithms (e.g., CNNs, deep
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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data define data and publication formats developing matching algorithms for simulated vs. observed data supporting proposal writing to secure future project funding Requirements: sound communication and