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to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will be highly meritorious: Research experience from
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for documented circumstances such as parental leave, sick leave, or military service. The following experience will be highly meritorious: Research experience from work with: microalgae/single cells omega-3 fatty
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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, manuscripts, and contributions to grant applications. Entry requirements To quality, the applicants must hold a PhD in computational biology or bioinformatics and have strong knowledge of RNA biology and
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applications. Entry requirements To quality, the applicants must hold a PhD in computational biology or bioinformatics and have strong knowledge of RNA biology and biomedical sciences. Experience with sequencing
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methods for producing the material by recombinant protein production and biomimetic fiber spinning. The group consists of an excellent team of several PhD students, PostDocs, and Researchers working
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University of Gothenburg as principals. The position is placed in the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from
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participate in the development of eg. user sample environments or data analysis tools To be successful in this role you need to have the following qualifications PhD in natural sciences in a subject relevant to
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can