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motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the
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public Contributions to laboratory management, including onboarding, safety, instrument maintenance, etc. are also expected Required skills and qualifications Doctoral degree/PhD in a relevant natural
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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malignancies. What you will do As a postdoctoral researcher, you will: Analyse multiomic long-read and single-cell data from patient samples to develop novel biological insights Contribute to recently funded
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, or scientific publications Experience in statistical analysis of data including univariate, multivariate statistics Science communication skills proven publication record in international peer-reviewed journals
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cells and mice) and willingness to work with animal models and patient samples - Experience in handling omics data, programming and analysis software. Experience in biostatistics/data science are
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in animal models contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some
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expert knowledge in working with and developing bioinformatics tools in Python, Julia, R or C++. Have extensive experience with NGS data analysis. Have experience in sample preparation for and sequencing
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or device prototyping Experience with quantitative measurements and data analysis Ability to work independently, keep clean documentation, and deliver to milestones Background in thermoelectrics, sensors