183 post-doc-in-geotechnical-earthquake-engineering Postdoctoral positions in Denmark
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and the Linux programming environment. Candidates with background in Physics, Physical Chemistry and Engineering are desirable. Candidates with only prior experience in empirical methods like docking
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immediate biomedical relevance Access state-of-the-art labs and infrastructure at DTU Health Tech Collaborate with an interdisciplinary team of chemists, engineers and biologists Develop your academic career
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work
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of reference received after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title
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that letters of reference received after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details
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partners Engage in teaching and supervision as required Expectations of qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in
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after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work
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into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position
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include: A letter stating your specific interest, motivation, and qualifications for the project (400 words). Curriculum Vitae with applicant's e-mail and phone number Documentation of qualifications
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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable