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to have a PhD degree in Robotics & AI or classical majors such as Mechanical/Electrical Engineering/Computer Science/Mathematics, with a specialization in themes such as robotics, systems & control
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collaborate well with software engineers, students, psychologists, and statisticians. You are highly proficient in English writing. You have extensive experience in R programming. What else do we offer you This
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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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Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental
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the supervision of students and teaching activities. Job requirements PhD in a relevant field (e.g., electrical engineering, acoustics, or a related discipline). Strong background in speech signal processing
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models that were developed in the Rapid Reservoir Modelling software. Develop an experimental design to quantify how reservoir properties and engineering parameters impact the recovery rate and overall
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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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, 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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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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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