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problem-solving are essential. Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, deep learning, natural
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, robotics is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra
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, continuous culturing, and working with DNA- and RNA-based technologies to study microbial communities; excellent oral and written communication skills in English; affinity with bioinformatics and statistical
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(MSc) record in microbiology or equivalent; expertise in microbial cultivation, working with DNA- and RNA-based technologies to study microbial communities; affinity with bioinformatics and statistical