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of sheep farming, but it is also one of the most cri- tical periods. Farmers must deal with high mortality rates, whether among lambs or ewes, due to complications during the lambing process, insufficient
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that seeks to link material structure, transformation processes, performance properties (mechanical, thermal, fire resistance, absorption, etc.), and their evolution throughout the product lifecycle
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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» Applied mathematicsEducation LevelPhD or equivalent Skills/Qualifications PhD in computational modelling or applied mathematics Additional Information Selection process Apply by sending an email to
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the ASTRID ProCoPe project (Collective Processes for Power Components), led by the III-V Lab, which aims to fabricate power components with diamond heat sinks, based on Gallium Nitride (GaN), and to develop
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seeking a postdoc in Eco-evolutionary theory of host-microbiome systems. Host-associated microbiomes often display host specificity and heritability, yet the evolutionary processes under which
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of contributions to both the ALERT program within the CLAS collaboration at Jefferson Lab (JLab) and to the exclusive process program at EIC within the ePIC collaboration. The successful candidate will work within
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
transport and electrochemical processes by their time constant. In that matter, BDS can decipher between ionic/electronic limitations in composite electrodes, depending on their morphology (porosity
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durable, a quality that is also their downfall: they are difficult to recycle or even simply convert using energy-efficient chemical processes. More effective methods for processing existing plastics
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and