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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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histology or imaging techniques. ⦁ Familiarity with R or other statistical tools for data analysis. The postdoctoral researcher and PhD-student positions are initially limited to 2 and 4 years
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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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of mathematics, e.g. participation to public events open to high-school students, or to the general public Your profile PhD of high quality in mathematics, with focus on stochastic analysis and related areas
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(TBI). The research will use in vitro techniques and in vivo mouse surgery models. A solid wet bench experience is required. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular
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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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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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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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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