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Field
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skills in data analysis and statistics (preferably in R); Demonstrated ability to publish in peer-reviewed international journals; Strong organizational skills and the ability to work independently as
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conducting experiments, analyzing and reporting data. experience with, or a willingness to learn packages such as R, Python and Unity written and spoken command of Dutch and English. In order to connect
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also have experience with automated text analysis (such as distributed dictionary representations). If you do not have experience with automated text analysis, you should have experience with R and/or
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medicine, psychology, or similar. Moreover you have: Experience or interest in radiology and/or medical imaging and affinity with biomedical research. Experience with SPSS, SAS, or R is required. Excellent
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computing hardware; conduct benchmarking with other innovative computing paradigms (e.g. neuromorphic computing, photonics computing, etc.); support/lead ESA Φ-lab’s industrial R&D activities related
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R. Teamwork and Responsibility: Ability to work effectively within a project team
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conducting fieldwork, and in performing molecular labwork. You have a demonstrated ability to work with R for data analysis. Experience with, or a keen interest to learn, the analysis of metabarcoding data
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interoperability. You may also propose alternative or extended research opportunities based on your technical background and specialisation. In addition, you will follow and contribute to ongoing R&D projects
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is part of the R&D programme of GroenVermogenNL. You will work closely with other colleagues involved in GroenVermogen including Aad Correljé, Toyah Rodhouse, Eugen Popa and Udo Pesch. You will join a