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) of application of several engineering materials. Strain mapping techniques (elastic or total, mainly in SEM or TEM) will be applied and furthered to gain greater insight into the mechanisms studied. During
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2025. Highly motivated and committed candidates with an interest in DNA damage response pathways and chromosome biology are encouraged to apply. The post is fully funded, although the post-holder will be
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on building materials, architectural design and technology, we also offer research-based public sector services and consultancy on technology to public agencies and ministries. What we offer The Department
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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of Engineering and the School of Management that form each an administrative grouping of departments and other institutions among which there are three strategic academic divisions: IQS Executive Education that
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development and computational modelling, with experience in physics, geophysics. materials science, computation, engineering, or a related discipline where they have demonstrated advanced skills in scientific
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is a newly established group within the Mechanics and Materials Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students and 1 postdoc. Our focus
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Postdoctoral researcher position. Mechanobiology in bioengineered neurodevelopment. Laboratory of...
Company description The Laboratory of Bioengineering an Morphogenesis is in the department of Mechanical Engineering at KU Leuven, Belgium and is affiliated with the Leuven Brain Institute (LBI) and
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initio molecular dynamics simulations Quantum dynamics simulations Computational quantum chemistry for chemical reactions Qualifications For Postdoctoral Researchers: Ph.D. in Chemistry, Materials Science
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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