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of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch
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learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch (required) Knowledge of quantum computing or quantum algorithms (advantageous but not essential
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crosses Maintain detailed experimental records Use standard laboratory software that includes Microsoft Word, Excel, and PowerPoint, GraphPad Prism, SnapGene or other DNA sequence analysis programs, etc
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essential. Additionally, he/she is expected to have good skills in calculation/simulation software (e.g., Matlab or Scilab) and programming (in languages Python, C++). Experience in aerodynamics is
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, digital communications, wireless networking and software development through hands-on experimentation. The research offers the opportunity to contribute to cutting-edge technologies for future cyber
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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independent academic research. F5 Experience using social science research methods and analytical software. F6 Experience presenting research findings to academic or non-academic audiences. Please ensure your
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independent academic research. F5 Experience using social science research methods and analytical software. F6 Experience presenting research findings to academic or non-academic audiences. Please ensure your
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built in the commercial finite element software ‘Abaqus’ to capture pellet clad interaction in both light water reactors (LWRs) and the UK advanced gas cooled reactor (UK-AGR). Whilst Abaqus offers