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biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational
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Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of thermodynamics with a strong
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. Salary is according to the Danish pay schedule. Your qualifications Applicants are expected to hold (or be close to completing) a PhD in a field relevant to the project. According to the conditions of
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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Collaboration with computational protein design partners and clinical reproductive biology collaborators Supervision of MSc and BSc students and contribution to publications You must have: A PhD degree in
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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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and tools. Experience in teaching advanced and fundamental science classes for university students. Experience in collaborations and bringing new ideas. As a formal qualification, you must hold a PhD
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs