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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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, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. We are looking for you as a scientist (all genders
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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
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be used for the modeling and simulation of materials. What you will do As a research associate, you will work on research and development tasks in the field of quantum computing algorithms
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available with the following responsibilities. Further development and implementation of efficient methods for the representation and fusion of RGB-D, eye-tracking, and IMU sensor data Development of novel
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free-space laser communications. Notable research achievements include the development of a holographic wavefront sensor with a bandwidth in the 100 kHz range, a patented angular transmission wavefront
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wide range of markets such as automotive, industrial and aerospace. Our interdisciplinary field of "Microdisplays and Sensors" is engaged in the development and manufacturing of micro-displays and
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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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