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Job Description This PhD position requires a strong background in biomedical engineering, materials science, chemistry, or a related field. The candidate should have experience with biosensors
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to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the study program of Biology. The PhD
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 17 days ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or equivalent. Your
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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characterization and application of oxo clusters and MOFs. Your profile Candidates must have completed bachelor's and master's degrees in chemistry. Alternatively, a Master in Nanoscience or chemical engineering
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the PhD studies in the Faculty of Humanities in the academic session 2022-23. Funding provider Engineering and Physical Sciences Research Council Level(s) of study This funding is available to students
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The Innovation Management section of the Technology and Operations department at the Rotterdam School of Management, Erasmus University, has re-opened this position. Successful innovation management involves all
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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extreme threats to national security. AWE has pioneered advancements in areas including physics, engineering, materials science, and high-performance computing. Together we’ve helped shape the UK’s