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will be: 1. Advanced Numerical Modelling and Simulation: You will begin by developing a numerical model to simulate the complete thermal-fluidic performance of the magnetic refrigerator. This model will
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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coxsackievirus B3, echoviruses and rhinoviruses as model systems. The role includes generating and analysing protease-deficient viral mutants, integrating proteomics and RNA biology, and collaborating with
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appropriate field. You will work on the project “Data-Driven Micromagnetic Modelling”. Your job This study contributes to SPARK, an ERC Consolidator project that aims to unlock magnetic information stored in
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | about 1 month ago
to be used as inputs for the ecological forecasting models Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
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of Chemistry is a leading international centre for chemical kinetics and its applications. (https://eps.leeds.ac.uk/chemistry ) Task description for your Individual Research Project (IRP) Problem Definition
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configurations hinders the creation of generalizable solutions for processing these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar
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innovative approaches to reduce signaling load on networks. Furthermore, the researcher is expected to develop mathematical models and tools to rigorously analyze the performance of such algorithms. Extensive