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Field
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-scale epidemiological datasets using statistical and machine learning methods Conduct systematic literature reviews and meta-analyses on disease dynamics topics Develop and validate predictive models
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
to Software Engineering for some time, and in areas such as software effort estimation, defect prediction, and project management in general. And more recently, the proposal of Large Language Models opened a
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
, and/or machine learning techniques. Proficiency in programming in R and/or Python. Strong communication, writing, and interpersonal skills. Demonstrated ability to conduct independent research, lead
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, including with the use of machine learning use this knowledge to design excavation trajectories that reduce energy consumption develop mathematical models of excavation energy losses communicate your findings
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for a postdoc researcher to join our research team and contribute
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machine learning and statistics; experience with Gaussian process regression and/or probabilistic regression. Experience with normative modelling is an advantage. Proficiency in Python (and ideally C/C
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design