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work with fish and/or aquaculture systems Accuracy and patience for laboratory and experimental work Interest towards statistics and bioinformatics Strong written and oral communication skills in English
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and genome editing Proficiency in molecular cloning and NGS library preparation Ability to work in a team as well as independently Excellent written and spoken English communication skills Ambitious
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. Most importantly, you should be highly motivated, able to work independently, and should be very confident in both written and spoken English. You should strive towards scientific excellence, be
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in English. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship
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academic approval, and the candidates will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience
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both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. We are seeking motivated candidates with strong programming
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structured approach to study and research The ability to work independently and make informed decisions An open and collaborative attitude Strong written and oral communication skills in English You must have
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer