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for representation learning, uncertainty quantification, and model interpretability over large, heterogeneous datasets such as sequenced microbial DNA fragments coupled with auxiliary environmental data. Starting date
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algorithms for representation learning, uncertainty quantification, and model interpretability over large, heterogeneous datasets such as sequenced microbial DNA fragments coupled with auxiliary environmental
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, NGS and 3rd generation sequencing, PCR, cell culture work, and animal models. Excellent communication skills in English, both written and oral. Ability to work independently while also being
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applications for both independent and collaborative research initiatives. The position also offers the opportunity to pursue independent research aligned with the group’s strategic focus. Your Competencies
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, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred. Stipend 2:Safety alignment in NLP models. Using Cybersecurity expertise
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be considered an advantage, if the applicant have experience with problem-based learning in alignment with Aalborg University's pedagogical model. You may obtain further information from Professor
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Life Cycle Sustainability (LCS) group and will collaborate with other international research partners. LCS brings together multiple competences within industrial ecology and sustainability science for
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of microalgal biomass. The PhD student will join the Life Cycle Sustainability (LCS) group and will collaborate with other international research partners. LCS brings together multiple competences within
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fellow will play a key role in multiple research projects, with responsibilities including study design, data analysis, manuscript preparation, presenting findings at international conferences, and
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your research profile and to collaborate with world-leading scientists within multiple disciplines. We offer freedom with responsibility, flexible working hours, and an informal and curiosity driven