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of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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; priorities will be set in communication with the project leader according to the HEaL grant aims and the candidates’ research interests. Curate and analyse administrative and questionnaire data. Write and
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junior PI, I am committed to providing personalized mentorship and supporting your career development through active guidance, networking, and publication opportunities. Our research integrates
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modelling of the C. elegans neural network. The lab also uses Two Electrode Voltage Clamp (TEVC) electrophysiology and molecular biology techniques to characterise receptors. There are a broad range of
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Networks, and ICT Services & Applications. Your role The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and
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skills, including writing, public speaking, networking, and critical evaluation of scientific literature. Presents scientific work both inside and outside the University with excellent oral communication
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reasoning and for cognitive reappraisal. They will join the wider network of Turing AI fellows and the Alan Turing Institute , the national AI and Data Science institute in the UK. There will be
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to support users throughout ESA and the wider European community. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will work closely with
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-solving skills. Team player with good communication skills. Proficiency in English. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement