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SQL Server database programming, including complex query optimization and performance tuning Demonstrated experience with formal software engineering practices (e.g. source code version control
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shaping and executing the experimental strategy. Research Environment and Collaborative Structure The position is embedded in the Protein Research Group (PRG), an internationally recognized center
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strong emphasis on code review and manual optimization over automated generation are an advantage Strong scientific writing and communication skills Ability to work independently, manage research tasks
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for targeted protein degradation with relevance to cancer biology and therapy. Your responsibilities will include: Designing and conducting biochemical and cell‑based high‑throughput screens Structure‑guided
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innovative approaches to design and optimize materials with enhanced bioactivity. Experience in design and synthesis of peptides will be considered a strong merit, as well as expertise in chemical modification
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optimization, as well as process simulation, modelling, design and optimization Developing, leading, and sustaining international scientific and industrial collaborations. Qualifications The professor must have
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definition, validation, and performance optimization. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. This position
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09754 Requirements Skills/Qualifications Technical skills and level required : computer science, algorithms, and optimization Languages : French
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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electronic structure methods for the above-described properties. In more details, this will require the development of an automated approach that allows identifying the excited-states across several levels