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, information science, criminology or media and communication studies and who have training in quantitative methods (e.g., regressions, non-parametric, parametric tests, Structural Equation Modelling) and/or qualitative
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pregnancy care, health service delivery and models of care and provision of culturally appropriate care. Interested applicants should refer to the PhD entry requirements: www.monash.edu/graduate-research
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; Knowledge of stable isotope techniques and methodologies - information provided in the CV and/or in the motivation letter; Experience in data analysis and ecological modelling (GLM, GLMM and the like
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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Specific Requirements Item 01: Academic training and other courses (punctuation: 30) Item 02: Experience in extracelullar vesicles, 3D models (spheroids, organoids) ando management and processing of human
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techniques (punctuation: 20) Item 03: Experience in experiments with lampreys or other basal vertebrate models (punctuation: 15) Item 04: Experience using programming tools (Matlab/Python) for data analysis
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- Molecular Modelling and Bioinformatics Dr. Núria López-Bigas - Biomedical Genomics Dr. Patrick Aloy - Structural Bioinformatics and Network Biology Dr. Raúl Méndez - Translational Control of Cell Cycle and
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application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous robots Your work assignments The primary focus
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neurodegeneration research, neuropathology, pathology, etc. extensive experience in tumor histology/biology, also in brain tumors extensive experience in working with mouse models of brain diseases, preferably