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independently Excellent command of the English language, good communication, and team working skills If not already proficient, be willing and able to learn X-ray spectroscopy to a high level. The following
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members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working hours. Qualifications Requirements for the position
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learning models to link sequence to function, supporting the design of regenerative therapies in the nervous system. The position will combine hands-on neuroscience experimental approaches with data-driven
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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Branch in Galveston, Texas (USA). This research stay constitutes an integral part of the Postdoctor position and aims to develop the techniques and acquire skills required to implement pregnancy-on-chip
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
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the beginning and there is still much to be learned! You will lead a project that centers on how tactile end organs assemble, function, and recover after injury. You will be using non-standard animal models
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themes: Trust, Cooperation, and Learn. Digital Futures Research Matrix What the call offers The opportunity to conduct research in a new research group at a leading university of institute within
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ways to transform towards them. Finally, we will synthesize our learning across cases to enhance causal multispecies understanding of biodiversity. The postdoctor will work with the Swedish team but is