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Sadron Institute. The team works on themes related to the process-structure-property correlations of pi-conjugated materials for applications in organic electronics. The SYCOMMOR team has particular
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. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one paradigm for quantum optimization with quantum computing (QAOA
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, including basic processing of photoemission data, as well as more advanced processing for HAXPES data or photoemission imaging. *Participate in measurements at large-scale facilities such as synchrotrons
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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | about 4 hours ago
(storage in stabilized form). Assess the compatibility of treated residues with valorization in the construction sector. Develop a prototype of an integrated process, adaptable to the characteristics
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simulation tools and machine learning techniques. Initially, the work will be based on the design of a database of medical images, which will be processed using convolutional neural networks to identify design
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emerging nano X-ray imaging technologies with complementary integrative structural biology approaches for molecular mechanistic studies. Research environment The EMBL Grenoble Unit pursues an ambitious and
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adipose tissue. In particular, we will study the role of different membrane receptors and their signaling pathways in the browning process. The various techniques used will include cell biology and genetic
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning