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computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is coordinated by Professor Simin Nadjm-Tehrani within the Cybersecurity division at
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focused on theoretical, numerical and experimental aspects of the mechanics of materials. The division has strong activity in the development and exploitation of X-ray and neutron methods for materials
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aims to turn HTC filtrate from a problem into a resource. In parallel, the filtrate is used as substrate for microbial production of biodegradable plastics (PHA) together with our partners at Karlstad
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methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you
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. Experience analyzing large datasets (e.g., satellite, observational or numerical model output). Strong scientific programming skills in Python or similar. A track record of peer-reviewed publications
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in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
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include to develop machine-learning methods using experimental data provided by collaborating experimentalists. A central part of the work will be to identify and define the most relevant parameters
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research environment focused on regulatory mechanisms that enable cells to retain their identity. We employ Drosophila and human cell culture models, genomics, genetics and numerical simulations to
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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Employer Umeå University Location Umeå, Sweden Salary Competitive Closing date 11 Sep 2026 View more categories View less categories Discipline Biomedicine , Computing , Health Science , Life Science