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Field
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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
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. At the same time, the high rediscovery rate of antibiotics and limited commercial incentives frustrate antibiotic R&D. The co-occurring problems of AMR and nearly empty discovery pipelines form an impending
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, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a scientific mindset
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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and
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Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
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, R and/or Python. a scientific mindset, inquisitive personality, team player, and the capacity to work independently; In our international working environment, there is an increasing amount
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spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with bacterial genetic engineering or mammalian cell culture is a plus; good project and time management skills
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, preferably in a technical or academic setting. Experience with multi-stakeholder collaboration. Familiarity with large multi-actor and multidisciplinary R&D projects; experience with EU projects is a plus
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minimum using a processor-in-the-loop setup). contributing to the roadmapping, definition and implementation of R&D studies dedicated to the use of machinelearning techniques for the development of GNC
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)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in