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++ and/or Python) Authoring of scientific publications and a doctoral thesis Presentation of research results at international conferences Where to apply E-mail [email protected] Requirements
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, or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should demonstrate some of the following skills: - coding in Python - Life Cycle Thinking (LCA
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independently, willingness to learn and acquire new skills Interest in working in a highly international research team A background in modern data science is required Very good programming skills (Python, C
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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can push the limits of conventional heat exchanger technology.In the second part of the PhD research, the candidate will contribute to the HEATCAP project (https://www.moonshotflanders.be/en/projects
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for the Recruitment of Researchers and committed to the implementation of the HRS4R for the research jobs at BSE. Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSd6qod93qC0uQMKsBUVLu_5d7mOxTgT-dJC2kE
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resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven methods
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Python and/or MATLAB, with experience with PyTorch and/or TensorFlow and workflow tools for data handling and model training. Demonstrated scholarly productivity, peer-reviewed publications and
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science or computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability
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, the HybridNetLab, the QCILab, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected