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from rough goals to working software, using modern tooling (including AI coding assistants) to move fast Keep the codebase clean and documented so it can be extended by others. Profile The role combines
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profile You have a master’s degree in computer science. You have experience with the humanitarian sector and/or in remote sensing. You are proficient in Python coding and deep learning frameworks. You are
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Work independently from rough goals to working software, using modern tooling (including AI coding assistants) to move fast Keep the codebase clean and documented so it can be extended by others
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stimulators, home use) Ensuring medical grade software quality following industry best practices for patients' usage at home and for researchers in rehabilitation facilities Designing, coding, and driving
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(e.g., GitHub Copilot, internal LLM agents) to significantly accelerate coding practices, automate boilerplate code generation, and test plan creation. Designing and building robust CI/CD pipelines and
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, coding, mathematics, instruction-following, multilingual, tool-use, and safety benchmarks. Debug common post-training issues, including optimization instability, reward hacking, regressions, and
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more information about Prof. Dusan Licina: https://people.epfl.ch/dusan.licina For more information about
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available on its website https://nccr-genesis.ch . NCCR Genesis is deeply committed to equality, diversity and inclusion. Our aim is to cultivate a respectful and fair work culture with equal access to
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infrastructure in both Fribourg and Lausanne. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more information about Prof. Dusan Licina: https