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Field
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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liquids and/or deep eutectic solvents for API synthesis; optimization of the process conditions with emphasis on reduction in use of organic solvents; controlling the conditions of the process and its
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. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page
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Are you eager to perform quantum simulations in a lively, international research group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
, covering letter, copy of diploma and valid proof of disabled worker status. Applications must be submitted online via the Inria website. Processing of applications submitted via other channels is not
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-based materials and composite systems for space applications. The successful candidate will contribute to research focused on the design, synthesis, processing, characterization and performance assessment
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. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields • Strong background in microbiology and quantitative analysis SKILLS • Microbial cultivation and bioreactor operation • Ability
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personal academic development plan (max. 500 words, in Polish), curriculum vitae – CV (in Polish) copy of PhD certificate, Job description: Post-doc position in a research project “Between Nationalism and
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calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task against hourly wind and wave time series spanning the project lifetime, with Monte Carlo