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Field
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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. Experience with at-sea data collection. Experience with zooplankton sampling or underwater acoustics. Programming experience in R, Matlab, Python, or other statistical languages. Preferred Qualifications: Ph.D
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Strong proficiency in Python or R and experience with High-Performance Computing. • Proficient
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Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor Abina Crean and Dr. Sonja Vucen. Within our group we strive
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to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
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following areas: foundation models, multimodal learning, LLMs, AI agents, or trustworthy AI. Proficiency in Python and PyTorch Responsibilities Research Conduct independent and collaborative research in
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is