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datasets such as the Luxembourg Parkinson’s Study and different prodromal cohorts for neurodegenerative diseases are ready for analysis. The doctoral researcher will: Conduct research that will compose a PhD
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
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Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and stakeholders to support the development of the project Engage in outreach
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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System Technologies Digital Twin Platforms and Data Analytics Predictive Models & Explainable AI (XAI) Methods in Time Series Forecasting Data Retrieval and Processing Time Series Analysis, Clustering, and
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into cross-seeding between microbiome-borne amyloidogenic proteins and human proteins implicated in neurodegenerative disea Your responsibilities: The doctoral candidate will perform computational analysis
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operation and analysis. These projects aim to develop a set of cloud-to-edge based tools for enabling intelligent automation of active distribution grids. Do you want to know more about LIST? Check our
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within the project Data analysis and publications in peer-reviewed scientific journals and presenting at international scientific conferences. Contribute to and support (on-going and future) research
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers