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, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments
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for contributing to moving the frontiers of science. Experience with thin film material science, electrochemistry and/or magnetic imaging techniques. Extensive hands-on experience with NV magnetometry, scanning
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) Good communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter or biophysics, quantitative image analysis and
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of the facilities required to develop this PhD project: bacterial culture, rheology, surface charge measurements (zeta potential), thermal analysis, X-ray diffraction (XRD), infrared spectroscopy, mechanical behavior
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the EU for (a) the strategic training of excellent young researchers in an emerging, interdisciplinary field and (b) the rational development of prototype devices involving doping strategies, inspired by
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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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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | about 16 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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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
response applications. This PhD project aims to develop a field-realistic VLE prototype for education and training purposes of emergency response, construction safety and health, lean construction
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 14 hours ago
. 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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Responsibilities Femtosecond laser spectroscopy of molecules and aggregates inside superfluid helium nanodroplets Implementation of a Timepix3 event-based imaging detector to enable 3D momentum reconstruction Time