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, motivation and independence, as well as how the applicant through his/her experience and competence is judged to have the abilities necessary to develop within and acquire the doctoral education. Additional
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collaboratively. Adaptability is also essential, as research directions and methodologies evolve, requiring flexibility and openness to learning new techniques. You should have the willingness to develop technical
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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
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be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising
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Biology division at https://liu.se/en/organisation/liu/ifm/biolo . The project is a collaboration with Associate professor Martin Johnsson at SLU Uppsala. The employment When taking up the post, you will be