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Field
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. This transition is driven by the agri-tech sector, providing affordable and quick assessment tools that empower farmers with soil health data. This project aims to understand farmers' responses to these changes and
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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Science, Operations Research, or Economics Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and highly collaborative
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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Completed university studies (Master/Diploma) in the field of Chemistry, Radiochemistry, Radiopharmacy, Radioecology or related field Excellent knowledge of a broad range of organic chemistry and analytical
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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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data entry, data cleaning, and coding. The Laboratory for Synthetic Organogenesis (Simunovic Lab) at and the Laboratory for Computational Cancer Biology (Azizi Lab) at Columbia University are seeking a
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languages such as Python for data analysis and simulations. Experience with optical systems, astronomical observations, or satellite tracking would be advantageous, although not compulsory. Strong analytical
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to strengthen research objectives and to achieve the goals of the research project. Required Qualifications: PhD degree Operations Management, Data Analytics, Pharmacology, Industrial Engineering, or related
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