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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
: The candidate should have a strong background and training in theory and computational science related to molecular biophysics and biomolecular modeling, and should have significant prior research experience and
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of the strongest research environments for basic plant research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology
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Applications are invited for a Postdoctoral Research Associate position in cellular biophysics in the group of Prof. Ewa Paluch. The Paluch lab studies cellular morphogenesis combining cell and
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land uses to promote sustainability and resilience, constrained by biophysical limits (e.g. productivity, land areas, soil types, etc.). Where possible, models will produce quantitative data (e.g. Mt
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made in a
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/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous
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, biophysics, and computational biology. You will work closely with an experienced team and collaborate with experts in molecular biology, hormonal signaling, microscopy, biomechanics, image processing and
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We are seeking a talented and motivated graduate in biomedical engineering, mechanical engineering, or biophysics to join our multidisciplinary research team as a Research Scientist/Engineer. This is a
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structural and biophysical analysis with in vivo studies, including the generation of targeted mutants using state-of-the-art genome editing and advanced quantitative light microscopy. Students will have the
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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close