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Proficiency in running numerical coastal ocean models Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran, C/C++, or Python
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willing to travel internationally for approximately 2 weeks each year. Preferred Qualifications Publication record using advanced predictive modeling techniques. Advanced knowledge of R, Python, or other
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willing to travel internationally for approximately 2 weeks each year. Preferred Qualifications Publication record using advanced predictive modeling techniques. Advanced knowledge of R, Python, or other
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
qualifications: A solid background in programming using Python, R, or other languages. Teaching and supervision experience at the BSc and MSc level. Interest and experience in developing competitive national and
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strong background in software development (Python, C++) and microscope control. • Experience FPGA programming is a beneficial. • Training and supervision will be provided throughout the project, but
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. Experience with whole-cell brain slice electrophysiological recordings. 4. Experience with molecular biology, neuroanatomy and mouse behavior. 5. Experience with programming in languages including Python, R
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, seek input, change strategies) Significant experience with a research computing language such as R, Python or Matlab Experience working with human research subjects Preferred: Interest in human cultural
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages
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single-cell RNA-seq data processing and analysis pipelines (such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction