www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: PDRA in Data Analysis and Modelling (Ecology)
Institution: Scottish Association for Marine Science
Location: Argyll, Scotland, United Kingdom
Duties: We are looking for an innovative, numerical ecologist/data scientist to join our international team, revolutionising the way we monitor the marine environment. You will take a leading role in the development of algorithms that predict the environmental status of marine sediments based on their eDNA-profile
Requirements: You will be experienced in writing code, in R, and applying this to various data handling tasks, particularly in relation to external data sources. You will be familiar with machine learning including random forests, and both uni- and multivariate statistical routines. You will have experience in packaging code into R libraries and making it available to non-specialists. You will be comfortable working with industry, regulators, and academia and the drafting, and presentation, of technical and scientific papers to a range of audiences. Familiarity with metabarcoding would be an advantage
   
Text: PDRA in Data Analysis and Modelling (Ecology) We are looking for an innovative, numerical ecologist/data scientist to join our international team, revolutionising the way we monitor the marine environment. You will take a leading role in the development of algorithms that predict the environmental status of marine sediments based on their eDNA-profile You will be experienced in writing code, in R, and applying this to various data handling tasks, particularly in relation to external data sources. You will be familiar with machine learning including random forests, and both uni- and multivariate statistical routines. You will have experience in packaging code into R libraries and making it available to non-specialists. You will be comfortable working with industry, regulators, and academia and the drafting, and presentation, of technical and scientific papers to a range of audiences. Familiarity with metabarcoding would be an advantage
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.