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) for the Romanian language ● programming skills in Python; knowledge of deep learning, machine learning, scikit-learn, Hugging Face, transformers, and LLMs Specific Requirements ● Collecting human-subject data using
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Squamous Cell Carcinoma Therapeutic Targets Using Systems-Level Machine Learning Based On Single Cell RNA Sequencing", implemented under Financing Agreement No. 760066/23.05.2023 The “Iuliu Haţieganu
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THE PROJECT PNRR" Lung Squamous Cell Carcinoma Therapeutic Targets Using Systems-Level Machine Learning Based On Single Cell RNA Sequencing", implemented under Financing Agreement No. 760066/23.05.2023
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Requirements Knowledge of advanced concepts in information processing using machine learning algorithms LanguagesROMANIANLevelGood Research FieldComputer scienceYears of Research Experience1 - 4 Additional
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: genetics, epigenetics, inflammation, metabolic pathology, autoinflammatory pathology, autoimmunity, arthritis, computational analysis, mathematical modeling, applied algorithms, machine learning in biology
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
., Li, J., Li, X., Zou, D., Xu, T., He, Z. Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis. Journal of International Medical
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-stage researchers in advanced data analytics, causal inference and machine learning related to health policy topics. Specifically, it is training them to evaluate real-world policy impacts. Focusing