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with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As a person, you have good interpersonal skills, are inclusive and team-oriented and able
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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ML domains, such as deep learning, reinforcement learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data
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scientific data-analysis and visualization tools (e.g., MATLAB, Python, R) for processing MC-ICP-MS data and preparing publication-quality figures. Excellent verbal and written skills. Presentation skills
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, engineering, or a closely related quantitative field. Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language. Ability to conduct independent
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 days ago
, C++, Python, or equivalent Preferred Qualifications: • Experience with PIC-MCC codes used in plasma physics communities (EP, fusion, astrophysics, pulsed power, or related fields) • Background in EP
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. Demonstrated experience/knowledge of Python programming for artificial intelligence (PyTorch, Keras, or TensorFlow), as documented by a thesis or dissertation in a related field. 4. At least three (3) original
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in