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developed python-based EM forward operator. Contributing to the development of a freeware software package that offers both forward and inverse modeling capabilities for FEM and TEM data. Collection of FEM
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developed python-based EM forward operator. Contributing to the development of a freeware software package that offers both forward and inverse modeling capabilities for FEM and TEM data. Collection of FEM
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to developing software solutions for data collection, signal processing (e.g., drift correction) and visualization. Ultimately, the goal is to demonstrate the prototype at the seabed. The candidate is expected
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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experimental data collected by the research team. Project management Lead the publication of results in high-impact scientific journals. The ideal candidate will have a strong background in scientific software
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areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
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record-keeping skills Proficient computer skills, including MS Office and research software programs Interest in working in a multidisciplinary and multicultural team Willing to collaborate with internal
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and automated catch registration to advance commercial fisheries. The team is developing fish detection and species identification algorithms, with the goal of implementing the software in
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techniques. The position as research assistant requires a master’s degree and the position as postdoc requires a PhD degree. In both cases an educational background within robotics, simulation, software