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intelligent surfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors: Dr. Victoria Tormo [INDRA] and Dr. Barthès [3DEUS] Objectives To establish an analytical modeling approach
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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, operations and clinical teams to identify opportunities for revenue optimization. Oversee the design and maintenance of dashboards, KPIs and predictive models for revenue cycle management. Oversee the volume
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predictions across scales. This role requires deep knowledge of the underlying models and practical implementation skills to maximize biological impact. You will lead rigorous model evaluations, implement novel
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ultimately seeks to predict how species respond to different sources of predation in the context of ongoing environmental changes, in order to better adapt monitoring tools and hunting quotas
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an import element in the prediction of reactor-scale operational scenarios providing compatibility to both, required heat and particle exhaust constraints and good fusion plasma core performance. Given
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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infrastructure to support predictive analytics, recommendation, and dynamic pricing. Create pipelines and databases capable of aggregating and organizing information from multiple heterogeneous sources. O5
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
? No Offer Description Scientific overview: This PhD thesis aims at studying the impacts of climate change-induced permafrost thaw in the Arctic, by using advanced thermo-hydro-mechanical (THM) modelling
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Identification and classification of coherent flow structures in the plasma of the Sun’s photosphere
predicting the solar magnetic activity is crucial for the prevention of possible negative mpacts of this activity on life on Earth. That is the focus of Space Weather Research. So far, the mechanism