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• Design, execute, and interpret experiments to investigate molecular mechanisms of circadian nutritional compensation in fungal and mammalian systems. • Develop and optimize experimental protocols in
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in conducting research, and skills in carrying out operations research and AI for modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof. J. Z. Ren
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for application in biocatalysis. Enzyme kinetic analysis. Development and optimization of multi-enzyme cascade reactions. Disseminating project results through scientific publications and conference presentations
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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, and contribute to protocol optimization. Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiogipuzkoa/es/Convocatoria… Requirements Research FieldBiological sciencesEducation
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collaboration with partners from WIAS or outside. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics
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participate in the daily activities of the hospitalization area of infectious diseases and in the nosocomial infection section. The candidate will be involved in antibiotic optimization policies and programs
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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to): Radiochemistry of small molecule molecular imaging probes to interrogate tumor biology and predict response to therapy. Optimize and characterize imaging agents for preclinical and translational cancer studies