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communication skills. Have good command of the English language, both spoken and written. Be independent and capable of assisting younger students in their research projects. Desirable qualifications: Experience
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capable of assisting younger students in their research projects. Desirable qualifications: Experience with biomolecular prediction, design, and simulation software. Experience with object-oriented
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communication skills. Have good command of the English language, both spoken and written. Be independent and capable of assisting younger students in their research projects. Desirable qualifications: Experience
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communication skills. Have good command of the English language, both spoken and written. Be independent and capable of assisting younger students in their research projects. Desirable qualifications: Experience
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resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and
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for five years from August 2025 until July 2030 and is carried out by a team of three postdocs, two research assistants, and Associate Professor Kristina Bakkær Simonsen as the project leader. The two
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. You will report to the Associate Professor Martin Kristian Thomsen. Your competences You have academic qualifications at PhD level, for example within the following areas of molecular biology or
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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soon as possible thereafter. The position will be for two years. The postdoc will be supervised by Professor Doug Speed, and based at the Department of Quantitative Genetics and Genomics (QGG) at Aarhus