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screening and characterization to generate and validate novel enzymes with tailored specificities. Under the joint supervision of Assoc. Prof. Birgitte Zeuner and Assoc. Prof. Timothy P. Jenkins, the PhD will
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expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis. The supervisory team will consist of dr. Maarten
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job PhD Epidemiologist – Advanced HIV Research Position Summary: We are seeking a highly motivated PhD-level Epidemiologist
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
the supervision of Prof. Massimo De Vittorio. You will be a part of the IDUN Center of Excellence, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross
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. The research will combine computational modeling (e.g., NLP, machine learning, deep learning) with human-centered research (e.g., user studies, experimental design, qualitative analysis). We are looking not only
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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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an Open Competition M grant awarded to prof. Christian Burgers. Therefore, the successful candidate is also expected to participate in activities related to the overall project. The PhD project will be
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of Chemistry at the University of Antwerp, with Prof. J. Vekeman as promotor. You will focus on research of which an abstract can be found below. The rational design of crystalline solids for specific
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crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep learning) with human
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emotion safety is crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep