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role focuses on improving and implementing procedures for the automated processing and visualization of this data using Python. Be part of change Raw data manipulation: Handling and transforming raw data
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Python programming, gaining valuable research experience alongside your studies. You will collaborate with an experienced, interdisciplinary research team and contribute to the development of Abaqus
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and affects control accuracy in Si/SiGe spin-qubit systems Develop compact Python-based models of these electronics for integration into quantum-mechanical simulations Design and evaluate cryogenic
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from problem definition through to validated implementation. Develop solutions using machine learning, deep learning and computer vision, and independently implement key components in Python. Develop
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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python
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experience with statistical software (e.g. R, Stata or Python) - Interest in economic sociology and political economy - English language proficiency at level C1 or above; proficiency in more than one
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/maintaining, isotope ratio mass spectrometers or similar Familiarity with software that can be used to process mass spectrometric data (R, MATLAB, Python), and some basic coding experience. Cooperation between
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 12 hours ago
demography, sociology, economics, or a related field. A good command of English and knowledge of R or Python are appreciated. The tasks include: support of the demoscapes.org project in data acquisition and
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change Support for the development and integration of 3D pose estimation and localization methods in the building sector Creation of synthetic reference datasets and the development of Python scripts
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance