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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project
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opportunities for methodological and/or software development, as well as the integration of machine learning into the project, depending on the candidate’s interests. This position is one of three Postdoctoral
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machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain
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: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks
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with this discipline. The diversity and dynamism of data, services, interaction devices and usage contexts require the evolution of systems and software to guarantee essential properties such as
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candidate will work with a three-person team of software engineers to integrated algorithms into the Epilepsy Navigation (EpiNav™) software platform for stereotactic neurosurgery planning. The successful
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statistical software Contribute to the preparation of reports and presentations Support the validation of the DAWNMAHP scale Responsibility for planning and carrying out empirical l work, keeping accurate
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attend – or take part in – the fascinating internal information session ‘Naturalis Draait Door’. Nice extras such as discounts on software and hardware for private use, collective health insurance plans
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analysis. You are familiar with Qualitative Data Analysis (QDA) software like Nvivo, MaxQDA or Atlas.ti. Interest in economic sociology, the sociology of imagined futures or related fields of research is
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in writing and speech. Desirable Comfortable with prototyping experiments using motion capture and virtual reality devices, 3D animation software, and relevant programming languages (e.g., Unreal