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Field
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large
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the organization of DNA and its relation to the dynamic 3D-structured chromosomes. The student will form a part of our new NEST initiative funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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: with relevant credentials, qualifications (incl. your experience with scientific software, programming, and software development), contact information of your Master`s Thesis Advisor Motivation letter
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executable. This is a challenging research project at the intersection of AI, NLP, and software engineering, with applications in life sciences and beyond. We are looking for highly motivated applicants for a
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partners. Applicants should fulfil the following requirements: A master’s degree in engineering or science, with a focus on computer/data systems, energy technology, software/hardware, information technology
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with advanced instrumentation and custom software to unlock new functionalities. In later phases of the project, the refined technique will be applied to characterise both commercial and custom-designed
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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the following documents (in pdf format): Curriculum Vitae: with relevant credentials, qualifications (incl. your experience with scientific software, programming, and software development), contact information
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
distributed optimization with noisy communication channels, accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software