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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
dissecting how protein and glycan assemblies drive signaling and cell communication. Develop precision tools to selectively target disease-relevant assemblies, opening new therapeutic opportunities in cancer
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab
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to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system
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building UHV systems. Experience in simulating in COMSOL or similar programs. A strong grasp of written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc
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interpret economic data and research findings Publications The grade point average achieved Relevant work experience Other professional activities Strong written and verbal communication skills The successful
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Job Description The microbial community of the world's oceans represents a large and underutilized resource for versatile and robust enzymes with potential technological applications. Despite high
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of extracellular matrix (ECM) remodelling during wound healing. Yet, many proteolytic processes remain uncharacterized due to the complexity of the ECM and limitations in current detection strategies. Advances in
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energy requirements. By doing all processing locally on-chip, the system eliminates the need for sending large amounts of unprocessed brain signals wirelessly that is essential for building completely