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- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- UNIVERSIDAD POLITECNICA DE MADRID
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- FIIB HUIS-HUHEN
- Fundacion IMDEA Energia
- ICFO - The Institute of Photonic Sciences
- Institut d'Investigació Biomèdica Sant Pau
- Iquadrat Informatica SL
- Josep Carreras Leukaemia Research Institute (IJC)
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predictive models for failure control. Validation & Experimental Collaboration: Compare simulations with experiments, collaborate on proof-of-concept testing, and refine models based on results. Where to apply
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. The work is part of the regional project “Optimizing Renewable Energy Integration: FPGA-Based Model Predictive Control (MPC) for Grid Stability” (Ref. SI4/PJI/2024-00238) Where to apply Website https
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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to this research line, planning protocols, overseeing data collection, facilitating communication between teams, and ensuring ethical and regulatory compliance. Implement data-analysis models to predict cognitive
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, creating predictive models for failure control. Validation & Experimental Collaboration: Compare simulations with experiments, collaborate on proof-of-concept testing, and refine models based on results
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. We will prioritize hits with suitable predicted drug metabolism and pharmacokinetic properties for optimization using organic synthesis. Finally, you will validate specificity using biophysical methods
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effectiveness and toxicity of the treatments. Other duties: Develop and validate cancer risk prediction models using deep neural networks based on semistructured data. Develop and validate learning strategies
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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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. Develop standardized, technology-adapted licensing models and agreement templates (exclusive/non-exclusive, early- vs late-stage, spin-off vs industry), including IP valuation schemes. Design quantitative
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engineered mouse prostate cancer models to uncover mechanisms of progression towards advanced, therapy resistant prostate cancer. The group uses computational approaches for cross-species analysis