62 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"CNRS-" positions at Leibniz
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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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Modelling Center (SDMC), Geobiodiversity Information and Data Management team at the Senckenberg Research Institute and Natural History Museum Frankfurt, starting as soon as possible: Programmer for
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research projects communication of research results in stakeholder dialogues with industry actors and policy makers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics
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based on machine learning. Reference number 05/25 Your tasks Assessment of GaN technology in possible novel integrated GaN RF front-end configurations - Full duplex in-band transceivers - Integrated down
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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practical tools for the development of new test methods for multifunctional composite components. The focus is on X-ray computed tomography and ultrasound-based methods (pulse-echo ultrasound, guided waves
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and
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density and neutral composition under different geophysical conditions, which have potential impacts on satellite operations. Your Qualifications / Experience: Mmaster's degree in physics, engineering
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. You will have access to a unique range of testing machines and measurement technology, enabling you to effectively develop important experimental results in the above-mentioned areas. You will join a