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FutureFoodS project SpeedyFermHub – which aims to support the development, optimization and scale-up of fermented plant-based food prototypes. Within the project, the Department of Management at Aarhus
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algorithms. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling complex RL pipelines or custom simulation
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genetic engineering of the selected microorganism to increase its yield and robustness, followed by large-scale cultivation in a 100 L bioreactor. The post doc position is embedded in a larger
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holes and connect them to resolved horizon-scale data from the Event Horizon Telescope , the forthcoming Black Hole Explorer space VLBI mission, and multiwavelength observatories. We are particularly
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how this change can be affected by the use of molecularly targeted metabolic, epigeneticand hormonal interventions. Achieving these goals requires a multi-disciplinary approach utilising well-annotated
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dynamic models for simulation, analysis and control design, and you are motivated by developing and implementing model-based control solutions that must perform reliably in a real pilot-scale system. You
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into multi-omic models, and drawing on genetics to test whether the resulting signals are causal. The postdoctoral fellow will play a key role in multiple research projects, with responsibilities including
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/physical AI agents coordinate and act at scale, paving the way toward embodied intelligence in large-scale intelligent systems. The successful candidate will bring strong foundations in embodied AI, robotic
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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some