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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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Carolina 27708, United States of America Subject Area: Biomedical Engineering / genome engineering technologies Appl Deadline: (posted 2025/04/22, listed until 2025/06/30) Position Description: Apply
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decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding of the rules
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. Over the last decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding
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record relative to career stage Excellent written and spoken English communication skills Following qualifications will be considered as an advantage: Experience with explainable AI methods Experience with
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Experience in computational methods and statistical analysis. A track record of both independent initiative and effective teamwork. Clear argument for alignment with career trajectory/goals. Additional
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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biological problems and is thus not focused on development of computational methods. We wish to generate small protein binders against a range of important neuroscience targets – principally intrinsically