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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
publications in simulations of biomolecular systems and MD simulation software. Preferred Qualifications: The candidates should hold a Ph.D. in chemical engineering, chemistry, biochemistry, structural biology
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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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, Attosecond science , Biological Physics , Biology , Biophysics , Biophysics/Soft Condensed Matter Theory , Biotechnology , Casimir effect , Chemical Engineering , Chemical Physics , Chemistry , Coherent
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PhD education. You must meet the requirements for admission to faculty’s doctoral program Doctoral Programme - PhD - Faculty of Engineering Science - NTNU The candidate must engage in SWIPA activities
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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hold an MSc in electronics, computer engineering, or a closely related field. Required Qualification: Applicants must hold an MSc in electronics, computer engineering, or a closely related field. Strong
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observables have become possible, that require a step change in performance of the parallel software used in lattice field theory calculations. The candidate will be allocated a research project sitting at
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading