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mindset, be curious and eager to learn. Since you will join an international group, a good command of written and spoken English is necessary. Your academic background should include a Master degree (or
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, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written
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of tissue plasticities in diet-induced obesity and regression. For the current project Unlocking the Deep GPCRome for Accelerated Fibrosis Resolution we seek a molecular and cell biologist or similar with
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equivalent). You will be assessed against the responsibilities and qualifications stated above and the following general criteria: Research experience Experience and quality of teaching Research vision and
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. The research should focus on low-power embedded systems, multimodal sensing (including wearable shoe-based platforms), and edge-cloud computing with serverless and federated learning techniques. You will work
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above and the following general criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including
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Key Responsibilities (in close collaboration with TU Munich): Develop a deep understanding of materials engineering principles to guide the design and functionalization of nanoporous materials
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advice, innovation and teaching - sustainable and value-creating solutions in the area of food and health for the benefit of society. The vision is to make a difference by generating future prosperity
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for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health. The institute works to prevent disease and promote health, develop new and
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- sustainable and value-creating solutions in the area of food and health for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health