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Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer
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scarps to varying rates of reworking, potentially revealing their activity over different timescales. To make up for the lack of nearshore high-resolution maps, we plan to develop and deploy an Uncrewed
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mining, statistical analysis, and computational modeling; Experience with programming languages such as Python, R or similar, as well as familiarity with relevant libraries and frameworks (e.g., TensorFlow
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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drug and genetic screens (e.g., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global
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to the Bachelor’s degree programs in medicine, molecular medicine, odontology and the Master’s degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern
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to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
University, Ny Munkegade 116, DK-8000 Aarhus C, Denmark. About the Department The Department of Biology hosts research programs and teaching curricula that cover all major biological sub-disciplines