27 scientific-visualization Postdoctoral positions at Chalmers University of Technology
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Formulate and nanoparticles Analyze experimental data using imaging and quantitative assays Contribute to scientific publications, presentations, and mentoring activities Supervise master’s and/or PhD
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)* Strong background in computational mechanics and numerical methods Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and
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technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific
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offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global
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Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and machine learning applications Experience with machine learning methods
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architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit
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offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global
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. Moreover, you will be supported by the Wallenberg Wood Science Center (WWSC), a leading research center striving for scientific excellence with a focus on developing new materials from trees. The center
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and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration