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toxicity (25%) 5. Biophysical analysis of the alpha-synuclein fibrils amplified from brain fractions, including cryo-EM analysis (25%) Qualifications Required Qualifications: PhD in Neuroscience or related
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the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
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and compliance, data analysis, and dissemination of findings through manuscripts and presentations. Minimum Requirements • PhD in biofabrication, biomedical engineering, chemistry/materials science
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, with a focus on longitudinal data analysis, population databases, and causal inference. This project has two components: The re-contacting of 507 Utah-based participants in the NICHD ENDO study (Research
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. The successful candidate will also participate in data analysis, dissemination of research results through scientific publications and conferences, and technology transfer activities. Design and fabricate three
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
behaviour and cognition and in data analysis techniques, demonstrated through publications • Excellent skills English (C1) • Excellent skills in German (C1) Desireable qualifications, abilities and skills
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primary responsibilities will be: Conceptualization of research agenda Research design Data acquisition, cleaning and analysis Preparation and presentation of research outputs Travel within the Northeastern
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laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 23 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal