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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in Assessment and Adaptation of Building Components for Extended Service Lifespans
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across systems, operating conditions, and downstream tasks. Adapt and fine-tune existing foundation models for energy-system applications, investigating efficient adaptation strategies and the use
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Your position You will work on projects investigating plastic responses to climatic challenges and the evolutionary constraints that limit adaptation to extreme climatic conditions. We address
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applications, assessing their transferability and generalization across systems, operating conditions, and downstream tasks. Adapt and fine-tune existing foundation models for energy-system applications
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and industrial project partners. You will be responsible for: Developing and adapting machine-learning approaches for structure-based and generative molecular design. Integrating physicochemical
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, membrane integrity) Develop or adapt image analysis and quantification pipelines with AI support to handle screen-scale data Follow up on screening hits to identify their molecular target or mechanism
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within the tumour microenvironment. The position offers a varied role combining laboratory organization with hands-on experimental support. The exact balance of responsibilities can be adapted according
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deliver seamless computational and data management support. Research in the DIAS lab addresses both aspects of the challenge: we adapt data management technology to computer architecture trends by designing
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which cells sense, adapt, and respond to their environment. We study free-living unicellular organisms as model systems. Using microscopy, quantitative measurements, and molecular perturbations, we seek
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, autoregressive models, normalizing flows, or related generative architectures. Foundation model development: novel pretraining objectives, scalable architectures, tokenization, and model adaptation strategies