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the obligations in CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave flumes to study entrainment is an
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where battery or hydrogen solutions face fundamental range and energy density constraints. Steam turbines are already in use in commercial ships today, based on fossil fuels. This research project will
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constructively with feedback Work constructively under pressure or in the face of adversity Show curiosity and a strong motivation for the subject Analyze data, assess different perspectives and draw well-founded
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Background Neurodivergent diagnoses — including autism, ADHD, and dyslexia — are increasing among both children and adults. At the same time, neurodivergent individuals face high unemployment rates, limited
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common research goals, in a multidisciplinary team Work constructively under pressure or in the face of adversity Are flexible and open to adjusting the plan for the project as needed Emphasis will be
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Engineering received within the last 3 years. Essential experience includes Python, modern techniques in visual recognition and image segmentation, and the ability to rapidly prototype and fine-tune open-source
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modelling analyses, including differential gene expression analysis, microbiome diversity analyses, host–microbiome association testing, metagenome-wide association analyses (mGWAS), hierarchical Bayesian
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. The application file should include: (1) CV with the publication list, (2) a brief description of research interests, (3) contact information for three references. We look forward to your application! Environment