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Field
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for additional research Your profile Master's degree, or equivalent expertise, in epidemiology, biostatistics, implementation research, or a related field Strong quantitative and programming skills (preferably R
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(DRG) isolation, processing, and analysis Desirable Qualifications: Experience with statistical analysis software such as GraphPad Prism or R Experience with catch-clamp recording Experience with Ca2
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requirement. Computing and software skills in multiple platforms are helpful as well as familiarity with statistical software packages (e.g., SPSS, R). Other Requirements Must successfully complete all online
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statistical ability Experience with statistical programming (preferably R) Interest in statistical methodology, causal inference and machine learning Excellent communication and problem-solving skills An MSc
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-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or similar software
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-commissioning. The project will be done in collaboration with an international automotive manufacturer which has its R&D Centre located in the UK. There will be two industrial supervisors. They will ensure
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-assisted-r… Requirements Specific Requirements A completed university master’s degree in Artificial Intelligence, Computer Science, Electrical Engineering, Computational Neuroscience, Physics or a closely
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
(e.g., using R), has experience in conducting literature reviews, know and understands the concept of Adverse Outcome Pathways (AOPs) in toxicology. We are looking for a highly motivated candidate with
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has two parts: NIVI Research Center (NIVI-R): A state-of-the-art research center anchored to the University of Copenhagen, Department of Immunology and Microbiology (www.isim.ku.dk). NIVI Development
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, antimicrobial resistance, and ideally metagenomics or microbial genomics. Quantitative, statistical & bioinformatics skills Experience analysing complex longitudinal datasets, proficiency in R and/or Python, and