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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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degree in food physics/food science/in vitro digestion and similar Documented expertise in using advanced physical techniques on soft matter Have a good understanding of advanced analytical techniques (MS
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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analytics and decision-making; Designing energy-efficient, low-latency communication strategies; Publishing high-impact research and contributing to outreach and dissemination activities. In addition, you
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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possession of the most advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. This world-leading infrastructure, will be available to underpin the proposed project
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to conducting a meta-analytic review and to the evaluation of interventions, working closely with the research team to advance knowledge on evidence-based solutions. You will support the development of a research
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learning methods. Familiarity with or interest in behavioral software systems – for example, development of applications or tools that incorporate nudging, persuasive technology, or behavior change