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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 16 days ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
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complementary knowledge and technology, LipidBRIGHT aims to speed up innovations towards improved disease prevention, diagnosis, prognosis and therapy. LipidBRIGHT will train scientists in a close cooperation
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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characterized by close integration of methodological development and practical applications. We maintain extensive collaborations with industrial partners as well as with leading research groups worldwide
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Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power
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network-wide training activities, courses, workshops and conferences. As a student in the AMC Graduate School you will also have access to additional training and development. A contract for 12 months, with
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devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems
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Project summary: This PhD develops and evaluates a GPT-based AI co-facilitator for Group Model Building (GMB) workshops, supporting stakeholders in constructing Causal Loop Diagrams of complex socio
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is desirable but not essential, alongside clear potential to develop as an independent researcher. For full details, see advert: https://www.strath.ac.uk/studywithus
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs SUPPORT