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Field
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experience with SIESTA will be a plus but it is not essential. Other research and software engineering experience will be considered, and will affect whether successful candidates receive offers
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functionality in vivo in animal models (rodents). The required qualifications for the positions are: Documented experience with simulation software based on finite element methods (e.g. COMSOL) and ray tracing
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office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department
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expected to collaborate with the PhD students in the group. Development of instruments an software You will contribute to developing the experimental instruments, in particular the optical setup and the
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Are you interested in developing screening methods to enable subsurface H2 storage? If you enjoy working at the interface between geoscience and engineering then this project may be right for you
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, glacier speedup, and ice-ocean interaction. Candidates will work with satellite altimetry, velocity datasets, and climate data to quantify ice sheet mass balance and dynamics. Applicants should hold a PhD
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transition time. Job requiements The successful applicant will have: Completed a PhD in the area of stochastic processes prior or very close to the start date, A profound knowledge of probability and
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collaborating with a software engineering team to translate research into production-ready tools. The successful candidate will be part of an inter-lab, highly inter-disciplinary team of experts in ML, applied
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with both research and teaching responsibilities. Preference will be given to candidates whose expertise aligns and strengthens the research of the Department. The successful candidates must have a PhD
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, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab