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models on GPU infrastructure (SSH access) and distributed computing environments. Strong problem-solving, documentation, and communication skills across technical and non-technical contexts. Ability
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or TensorFlow. Practical background in training and validating models on GPU-based and distributed computing environments. Working knowledge of containerization tools and orchestration platforms (e.g. Docker
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Sciences Preferences: Experience with scientific projects, especially in STEM field Work with international environment (working abroad or work with international partners) Has good knowledge of Horizon 2020
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field. Experience in R&D-intensive environments (e.g., deep tech, software, manufacturing). Excellent background on Angular, Python, Django and Celery. Familiarity with DevOps practices, such as CI/CD
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analysis, techno-economic analysis, whilst establishing frameworks for measuring social, environmental, and economic impact. You will design and facilitate techno-economic assessments, regulatory
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progression and therapy response, the design and validation of innovative therapies, and their preclinical and clinical evaluation. This rich environment will provide PhD students in ACHILLES with a
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in a well-established academic environment, CCBRE is dedicated to applied research, international cooperation, and sustainable innovation. The position supports both CCBRE and the closely affiliated