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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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7 Sep 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Mechanical Systems Engineering Research Field Engineering » Electrical engineering Engineering
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, Greenland glaciology, statistical analysis of proxy data. You should have good analytical and problem-solving skills and be motivated to develop quantitative approaches that connect geological records of past
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and molecular/proteomic analysis, providing a strong foundation for a career in cardiovascular research, stem cell biology or translational medicine. References: 1) Sanwlani & Camelliti. Extracellular
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics Researcher
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 8 days ago
: Experience with molecular biology techniques. International Experience: Experience studying or working in an international environment. Data Analysis: Basic knowledge of R or Python. Research group
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21 Sep 2026 Job Information Organisation/Company Technische Universität Chemnitz Department Mechanical Engineering Research Field Technology » Production technology Researcher Profile First Stage
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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health
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biomarkers in breast cancer by systems pathology and deep learning". For further information about the research group, including their most recent publications, please visit their website at www.ali-lab.co.uk
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wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain