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environment. Development of models to diagnose and predict battery performance and ageing. Participation in national and international research projects related with energy storage and its integration in
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scientist. Job requirements Professional experience Machine learning / Deep learning tools (pytorch) and predictive modeling Bioinformatics analysis of omics data Education and training PhD or equivalent
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modeling, materials, and biomanufacturing). Candidates will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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more information about this assessment on our website about knowledge … Where to apply Website https://www.academictransfer.com/en/jobs/357324/phd-position-on-predictive-mode… Requirements Additional
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predict the location of resources more accurately, it is necessary to model these processes jointly at the basin scale. However, directly solving geochemical equations is computationally expensive and
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to predict pKa values of payloads using tabulated steric and electronic descriptors. Synthesize novel PABA-derived linkers and prepare conjugates using model compounds. Measure pKa and release behaviour
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and scope of MS research. This PhD project employs advanced network analysis and Large Language Models to develop predictive models for MS progression. It involves constructing and analyzing a complex
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. In this PhD project, you will: Develop real-time optimization and hybrid AI models for end-to-end multimodal transport planning under uncertainty. Design synchronization, consolidation, and matchmaking
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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other