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biochemistry. Expertise in e.g. CRISPR-mediated gene editing, protein structure prediction, mass spectrometry-based proteomics, or fluorescence microscopy. Expertise and interest in functional analysis
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
., biomarkers and traits related to the target disease). There is also scope within the postdoc for developing “more standard” GWAS tools (e.g., tools for association analysis, constructing polygenic scores and
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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless
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science, or related fields with a strong interest in molecular characterisation. Experience and skills Proven hands-on experience in MS-based analysis techniques (e.g. LC-MS, GC-MS, MALDI). Experience in
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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Analyse and interpret time series of environmental monitoring data, and physical/ chemical parameters from tree rings Apply and further develop signal-processing and data-analysis methods Identify
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the mission to examine the contribution of somatic mosaicism in healthy human brain development and in neurologic diseases and collaborates with the Huang lab for the analysis of their high throughput genetic
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participating in the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will
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SD-26086 POSTDOCTORAL RESEARCHER IN THE PHYSICAL VAPOR DEPOSITION OF ELECTROCATALYST FOR PHOTOANO...
physical vapor deposition of transparent oxide thin films and metal alloy thin films for advanced electrocatalytic applications (WP1). Comprehensive characterization methods, including surface analysis (XPS
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biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information. Analysis of large‑scale clinical, genomic, and molecular datasets. Development and