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Field
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to network and build rapport with national and international stakeholders, and to liaise with researchers at other institutes. Analytical and critical thinking skills. Qualitative and quantitative research
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of HIV or sexual and reproductive health and rights. The ability to network and build rapport with national and international stakeholders, and to liaise with researchers at other institutes. Analytical
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analytical skills, initiative, and creativity. A genuine curiosity for science and motivation to pursue high-level research. Excellent written and oral communication skills in English. Ability to work
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Science, or a related discipline. Practical experience in polymeric membrane fuel cells or electrolysers, electrocatalysis, electrochemistry, or spectroscopy will be regarded as a plus. Strong analytical
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Computer Science, Machine Learning, Operations Research or a related technical field. Strong background in deep learning with a motivation to advance fundamental techniques. Excellent analytical, problem-solving
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for computationally demanding applications and machine learning. - Good analytical skills and a positive attitude towards interdisciplinary work. Additional Information Benefits We offer you, following the Collective
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an independent and original thinker with a creative mindset; You are a fast thinker with excellent analytical and communication skills; You have good team spirit and like to work in an internationally oriented
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African countries. If so, an exciting job opportunity is waiting for you! We are looking for a pro-active, analytical and self-motivated PhD candidate to contribute to our understanding of advances, gaps
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on ecology and evolution in wild animals, supported by laboratory and analytical technicians. Social interactions (stemming from the social environment) can delay or exacerbate an individual’s ageing
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research we expect you to: Conduct cutting-edge research in neuro-behavioral sciences using advanced analytical techniques. Collaborate with clinical researchers and collect data from a large cohort using