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us, you will also find space to unfold your potential. We are looking for a ... Postdoc for Astronomical Observing Programs at the Leopold Figl Observatory 53 Faculty of Earth Sciences, Geography and
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
Area of research: Scientific / postdoctoral posts Starting date: 01.11.2026 Job description: Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Posting Description POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work at the intersection of physical oceanography, numerical modeling, high-performance computing, and machine
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-fidelity modeling, digital twins, generative models, adaptive optimization, or autonomous experiment–simulation workflows. Excellent written and oral communication skills. Motivated self-starter with
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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of detailed models for the design and optimization of pyrolysis plants in interaction with CO₂ capture.” You will drive the development of a comprehensive, modular simulation framework that links all major unit
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their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a ... Postdoc
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21 Aug 2026 Job Information Organisation/Company CNRS-LMA Department laboratoire de Mécanique et d'Acoustique UPR 7051 Research Field Mathematics » Computational mathematics Engineering » Simulation
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). The successful candidate will contribute to the modeling, simulation, and co-design of next-generation Quantum-HPC (QHPC) architectures, with particular emphasis on integration of quantum and HPC distributed