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for extension. We are looking for someone to join our team of consumer behaviour scientists and agent-based modellers who can bring knowledge of and experience with modelling cognitive or behavioural change
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, vegetation-plot, remote-sensing or environmental datasets; knowledge of climate and land-use scenarios, including SSP/RCP-based projections, and methods for propagating or quantifying model uncertainty
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. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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colleagues support each other and share expertise to enable everyone to benefit from a broader skills and knowledge base. Personal skills: Highly motivated, independent, and well-organized; strong analytical
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integrating ecological and environmental data and knowledge across scales. Specifically, we look for the following qualifications: Proven expertise in modelling and analyses of biodiversity dynamics across
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modelling Experience with hardware-in-the-loop (HIL) emulators such as dSPACE, OPAL-RT, and Speedgoat Experience in power systems and system optimization Knowledge of battery storage technologies and battery
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research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes
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groundbreaking research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is