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boundaries and abstraction levels is a must. Experience with control theory and spiking neural networks are a plus. Ability for collaborative work, interdisciplinary and cross-topical thinking. Very good
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
; Strong interest in nonequilibrium statistical physics and the physics of living systems across scales; Ability and desire to work in an international team on inter-disciplinary research topics; Good
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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. • Experience in planning, organizational and coordination activities. • Excellent command of the English language (fully fluent in writing and speech). No knowledge of German is totally fine (free lessons
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language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g., Git) Interest in or experience with semantic web
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With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and resilient
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Description With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and
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the Cardiovascular System”, the SFB1531 “Damage control by the stroma-vascular compartment” and the LOEWE Center “Lipid Space”. The Epigenetics/RNA working group, led by Prof. Ralf Brandes, is investigating how
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methods is an advantage High motivation and initiative Ability to communicate and carry out work in an interdisciplinary research team (radiochemistry, biochemistry, biology, chemistry, medicine