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machine learning model, we foresee using novel approaches for data fusion, such as linking information to gaze location and extracting coordination patterns between different modalities. You will work
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presentations at conferences) Demonstrable proactive and flexible attitude Has experience with molecular data and applying landscape modelling frameworks (e.g. SDMs) Particular strengths with Machine Learning
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the candidate’s PhD or other previous projects. These skills are essential for the development and implementation of a new machine-learning model to represent the tensorial electronic friction coefficients
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implications of such systems? We are seeking a postdoc to join our team, someone who is keen to contribute to the development of trustworthy machine learning systems and to translating algorithmic advances and
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who is keen to contribute to the development of trustworthy machine learning systems and to translating algorithmic advances and challenges in machine learning for policy makers. What are you going
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current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
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of Oxford and Valencia, on a large-scale European project. The focus of the postdoc project will be on using advanced numerical simulation modeling software and machine learning techniques to quantitatively
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European credits) in information economics/ operations management, econometrics, machine learning, extensive data analytics and qualitative research methods. The training can be adapted to the previous
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medical image analysis, computer vision, or machine learning. You have a clear interest to develop artificial intelligence algorithms and an affinity with healthcare. In addition you possess the profile
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directives and assessing targets of the EU Biodiversity Strategy target. The position is part of an internationally diverse and world-leading team of ecologists, computer scientists, engineers, and