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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
of marine biogeochemistry, marine geosciences, marine (micro)biology and (paleo)climatology. The cluster offers a versatile qualification program in which doctoral researchers can strengthen their
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this vision into a comprehensive, measurable strategic plan. Program & Project Management: Orchestrate the implementation phases (foundations & traction, integration & consolidation, scaling & multiplication
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, analytical chemistry, and biology • Advancing the field through practically relevant and applicable computational tools is what motivates you • You have demonstrable proficiency in R (or equivalent
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enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset
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Qualifications: • Ph.D. in biodiversity informatics, remote sensing of biodiversity, or related fields, and a strong background in implementing advanced machine learning and deep learning approaches, spatial
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in relevant and refereed journals. • Knowledge of some combination of computer languages including but not limited to Python, R, PyOMO, Julia. • The opportunity to continue your career at a world
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knowledge quickly; ability to work in a team; - Proficiency in written and spoken English; - Computer literacy, knowledge of MS Office and scientific programs used to analyze research results; - Practical
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, At least 6 years related extensive full tme teaching experience in higher educaton in English with high evaluaton. Desirable Qualifcatons/Experience Curriculum design and programme development
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challenge. We welcome applications from candidates who have the potential to set up an innovative and internationally oriented research program aimed at elucidating the role and directing the use of microbes
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profile Bachelor's degree or equivalent in computer science, engineering, data science, or another field but with equivalent and proven experience First experience of collaborative research, research data