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functional screens and read out mutation identities via barcode sequencing. By providing a direct link between sequence and function MAGESTIC enables massively scaled screens of precise mutations, with
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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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that candidates have to fulfill, be sure to check what these are before you apply. Instructions on how to apply For more information and documents/templates/europass link, please visit https://www.ambercofund.eu
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collaboration with hospital departments and industry. We offer an attractive work place with a strong publication output to support an academic career. For more information about our profile and projects, please
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encouraged to apply. For further information about the position, please contact Prof. Tobias Neher, SDU (email: tneher@health.sdu.dk ; phone: +45 6550 7659). Applications must include: A letter of motivation
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. Mentorship and opportunities for career development and advancement. Vibrant research environment with a supportive and inclusive community. For more information, please see the following link: https
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available from 1 January 2026 or according to mutual agreement. You can read more about career paths at DTU here . Further information You can find further information about the research at SurfCat
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link Online application As soon as the selection procedure has finished, all application papers will be destroyed according to data protection regulation. For further information regarding the position
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the application process. Please submit your application in English no later than 15th August 2025 under the following link Online application As soon as the selection procedure has finished, all application papers