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and rigorously evaluating new machine-learning methods. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research
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in Python, including practical experience with PyTorch. A good understanding of computer architecture, digital systems, and/or AI accelerators. Strong written and spoken English. Ability to conduct
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 1 day ago
# Semiconductor processing and ion implantation # Nanofabrication and cleanroom technologies # Optical spectroscopy # Programming and scientific data analysis (e.g. Python, MATLAB) # Strong analytical and problem
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 1 day ago
with quantitative data analysis using R, Python, MATLAB or comparable software; GIS experience is advantageous Very good command of English (approximately equivalent to CEFR level C1); knowledge
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)medical or nutritional sciences.Preferably you have experience with working with large datasets in statistical software packages such as R, Python or SPSS. Proficiency in English at C1 level or higher (CEFR
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis
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to organic synthesis and properties of organic molecules, is an advantage. good knowledge of data curation and plotting, electronic laboratory notebooks, Python or similar, are merits. excellent grades from
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assistance to support their thesis projects. The full job description is here: https://www.dropbox.com/scl/fi/to4moi200ahe3ul6lj814/TA1_Seethapathi_083126.pdf?rlkey=abg7tj181gflnaxn31w4pmdne&st=jjmu0qd4&dl=0
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning