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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
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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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has been instrumental in extending the established domains of theatre pedagogy and applied drama toward a broader range of applications of dramaturgical theories, tools and methods in the contexts
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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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be part of that group. Applicants should hold a PhD in a relevant research area (see below). The job can be either an Aasistant professor, Tenure track Assistant professor or Associate professor
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Computer Science, Data Science, Materials Science and Engineering, Chemical Engineering, Environmental Engineering
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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