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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description
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"Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade
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environmental applications of microsystems and the ability to interact with researchers in a very interdisciplinary environment. A high grade average and excellent English language skills are decisive to be
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
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://nbi.ku.dk/english/research/pice/precise/ ). We are looking for a talented, highly motivated and creative student interested in working in a strong interdisciplinary environment. The successful candidate
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all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include
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English. If you don’t meet all the qualifications listed above but are passionate about the research topic and believe you can contribute to the project, we encourage you to apply! This position offers