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activities, including the collection, analysis and documentation of qualitative and quantitative data. The role involves preparing research reports, developing data collection tools, communicating project
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bioinformatics, computational biology, genomics, evolutionary biology or a related discipline. Essential skills include experience with genomic data analysis, proficiency in Python and/or R, familiarity with
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, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration between the National Health Care
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 17 days ago
research experience in RNA biology and/or high-throughput sequencing technologies would be a strong advantage Familiarity with programming languages such as R or Python for data analysis is beneficial
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Contribute to and perform data analysis, manuscript preparation, and presentation of results at lab meetings and conferences Your profile What you bring for this position: Master's degree in Immunology, Cell
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Circulatory Support (MCS) experimental lab with real-world clinical analysis in patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and
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economic inequality. You should contribute to research in one of two areas: (1) the study of labour market institutions and their relation to social and economic outcomes or (2) public policy analysis in
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. Background in the field of Organic and/or Organometallic chemistry. Experience in the analysis of organic compounds (especially NMR methods). Experience in synthetic molecular chemistry under inert gas. Good
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and