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sustainable technologies. For more details, please view: https://www.ntu.edu.sg/eee The LUMINOUS! Centre of Excellence for Semiconductor Lighting and Displays at NTU is seeking a Research Assistant
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. Preferred Qualifications Equipment Utilized Standard molecular biology equipment and procedures, fly husbandry, Perl and/or python programming languages, R statistical package and the Unix operating system
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 2 months ago
communication skills in spoken and written English Desirable qualifications Prior experience in research laboratory Prior experience in data analysis/ visualization using R or python This position provides
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experience with Python, MATLAB, or other programming languages for data processing, knowledge of metal defects, phase transitions, and radiation effects in materials, experience with ion-irradiation processes
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dashboard development, or clinical data tool design. Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge
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for a researcher in gravitational wave astronomy at the Institute of Applied Computing and Community Code (IAC3, http://iac3.uib.es ) funded by the Beatriz de Galindo fellowship (BG24/00137) supported
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* proficiency in the Python programming language and libraries dedicated to machine learning (e.g., PyTorch, PyTorch-geometric, Transformers) and chemical data processing (e.g., RDKIT, OpenBabel, deepchem
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Framework Programme? Not funded by a EU programme Reference Number AE2026-0200 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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experience in modern statistical methods, statistical and machine learning, and AI is advantageous Excellent knowledge of SPSS; knowledge of STATA and/or R and/or Python is an advantage. Interest in mixed
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in