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the systems-level plasticity of pure cultures of acetogens upon physical-chemical perturbations during syngas fermentation. This project involves detailed mechanistic and systems-level studies including, but
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of risk management, and remain poorly understood, even within the physical and engineering sciences communities. This project will investigate the environmental, technical, social, legal, and policy
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determination of AIS constituents and their adaptation to axo-axonic synapses Mechanistic/biophysical models for synaptic interactions with action potential signals generated at AIS Examples of other tasks
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focus on how the candidate can make use of the postdoctoral position to develop their career. In addition to the outlined research tasks, the position implies modest teaching obligations equivalent to one
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complement the Department’s ongoing activities in landscape-scale modelling, with a specific focus on nature-based solutions in agricultural landscapes. The successful candidate will be integrated
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of climate smart agriculture (mitigation, adaptation, and productivity). You will be contributing specifically to the area of cover cropping, crop rotation, and tillage to support climate smart farming. And
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and adaptive token pruning; Distributed and collaborative inference strategies; Mixture-of-Experts (MoE) architectures for scalable inference; Resource-aware and latency-constrained inference
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concerns of avoiding wrongful paternalism and discrimination. Specifically, while paternalistic discrimination seems to cater to a concern of (i) protecting people equally, it may fail to accommodate a
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job