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endowment in excess of $3.9 billion. Job Description Clinical Learning & Simulation Assistant - Temporary (RN) This position supports the Director of Clinical Learning and Simulation Centers in ensuring
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graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, very good verbal and written English communication skills as
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Infrastructure? No Offer Description Work group: IBG-3 - Agrosphäre Area of research: PHD Thesis Job description: Your Job: The PhD position is offered in the context of the HDS-LEE graduate school. We are looking
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
Department of Molecular Medicine at SDU is looking for applicants for a PhD scholarship within the field of biomarker and therapeutic target investigations in biliary atresia. We are looking for a
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://chiralnanomat.eu/ we offer two PhD positions: DC9 - Bio-Functionalized Chiral Nanocluster Modelling via Machine-Learning Methods DC10 - Predictive Modelling and Rational Design of Asymmetric Catalysis by Chiral
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about research in the field of nanoscience and nanotechnology at Chalmers. Chalmers is now offering three Excellence PhD positions in the field of Nanoscience and Nanotechnology, as well as 12 additional
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learn about many interesting projects related to your PhD, in particular those of the strontium BEC group and of the hybrid atom-ion group . Your PhD project will profit from synergy with all
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the course of the PhD. Example directions include: Anomaly, novelty, and out-of-distribution detection in visual data Fine-grained visual understanding for distinguishing subtle irregularities Learning visual