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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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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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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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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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. 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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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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, 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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proficiency in the utilization of complex RF measurement techniques Expertise in Cadence Virtuoso, Cadence EMX Designer, Ansys HFSS and CST Studio Suite Ideally experience in antenna design as well as in