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laboratory Co-authorship on a research article or manuscript in preparation First-author presentation at a research conference -Experience with coding (ideally in Python) and statistics, and affinity
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/ML/CV venues Proficiency in Python and deep learning frameworks Experience in machine learning, computer vision, or NLP Strong communication and collaboration skills Our commitment to inclusion and
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
. Use of digital earthquake models; The code used for calculations is written in Fortran, and the tools for processing input and output data are written in MATLAB and Python. The postdoctoral researcher's
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workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving
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design and programming (i.e. R or Python). Knowledge of multivariate analysis techniques such as multiple analysis of variance, multiple regression, logistic regression, and factor analysis. Research Study
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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well as pediatric malignancy. The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the
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applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python. All applications must be submitted through Columbia University?s Academic Search and
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
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lands flat. Sarcasm disappears entirely. In the Vetenskapsrådet-funded 4-year project Personalized Voices (https://www.speech.kth.se/personalized_voices ), we aim to change this. We will do this by giving