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in the field of Fire Safety Engineering; You are familiar with concepts of uncertainty quantification; You are familiar with Python coding; You are familiar with structural fire engineering calculation
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research projects and publications to completion Proficiency in scientific programming (e.g., R or Python) and experience with the analysis of biomedical data Excellent written and spoken English, and the
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experience with Linux, Git, high-performance computing environments, and scripting in Python and/or R Experience processing sequencing data, in particular microbiome (16S or shotgun metagenomic) data
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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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. Experience in conducting experimental work (experimental internship) 2. Basic understanding of magnetohydrodynamics 3. Knowledge of Python programming 4. Experience in signal and/or image processing _Personal
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environments (e.g., SPSS, R, and Python), and computational facilities. Guide and support students during laboratory sessions and contribute technical input to curriculum development. Assist academic staff and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 7 days 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 | 7 days 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