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Field
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full-time , allow you to tailor your working hours to suit your individual needs Knowledge & further training: Your professional development is important to us – we provide targeted, individual support
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experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic
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Evolution), the Carl-Zeiss-funded project for Interactive Bio-materials for Neural Regeneration and profile areas such as ReALity (Resilience - Adaptation - Longevity) or the Centre of Healthy Aging (further
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integrating plant molecular biology, evolutionary and quantitative genetics and ecology, we are investigating the genetic underpinnings of plant responses and adaptation to global environmental changes. Our
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models and analysis pipelines for real-time performance, enabling adaptive imaging and feedback control Design active-learning and retraining strategies to robustly generalize to new microbial communities
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introducing narrow-bandwidth active noise compensation. RF field feedback can be further enhanced by investigating variable-gain controllers that adapt to cavity detuning, or exploring other feedback algorithms
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tailor your working hours to suit your individual needs Knowledge & further training: Your professional development is important to us – we provide targeted, individual support Successful start: It is
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced
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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin