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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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candidate to help develop these new manners by which to promote bonds as kernels in the interpretation of chemical simulations. For this purpose, novel theory and simulation software will need to be developed
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involves software development, measurements using local and large international facilities, and a keen eye on developing relations between local order and material properties. The candidate must have a
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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in collaboration with international research and industrial partners. The position requires software development within the topics of navigation, sensor fusion, Kalman filtering and gravity field
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the corporate expansion of AI usage through enterprise software. How do these interests ensure their market share, control the regulatory environment, and show accountability for their environmental impact? How
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and