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for minorities The ability to work independently and collaboratively in a diverse team setting Candidate has experience with web-app programming -- HTML, CSS, JavaScript and TypeScript. Experience with
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Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University
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more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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agreements. The appointed researcher will receive full support from the PI to develop their own research profile, write grant applications, and follow an individual development plan crafted together
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or scholarship, and may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless
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. Strong knowledge of quantitative ecology and statistical analysis. Proficiency in the statistical programming language R, or equivalent. Strong scientific writing and communication skills in English. The
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emphasis on mentorship and value the opportunity to train future leaders in human genetics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made
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post-doc fellowships at Marie Curie EU programs or Flanders Foundation Research (FWO). You are willing to help the PIs of the TC apply for external funding in the field of metabolomics and lipidomics
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current