988 machine-learning-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" Fellowship positions
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agricultural impacts, and guiding policies to enhance regional resilience to climate-driven natural hazards. Subsequent efforts focus on employing a physics-informed machine-learning model, tailored
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, leading to peer-reviewed publications. The fellow may also have the opportunity to be included in helping with the USDA new world screwworm response. Learning Objectives: The fellow will learn techniques in
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an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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and ion), mass spectrometry, and capillary electrophoresis. Learning Objectives: Become familiar with the collection, extraction and analysis of horticultural samples Develop skills in the following
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in computer skills (Office Suite), with the ability to learn and adapt to new systems as needed. Excellent communication and organizational skills, with the ability to work effectively with local
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. Engaging in professional development training and learning any area of immigration law they are not already familiar with. Continuing to upgrade knowledge, skills, and abilities needed to keep abreast
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- Salary Sacrifice Car Scheme (Tusker) - Salary Sacrifice Cycle Scheme - Salary Sacrifice Home & Tech Scheme - Life Assurance Full details on our employee benefits can be found on our careers page
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. For both posts, applicants should have relevant research experience in ultra-precision machining