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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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experiments. Interest in connecting theory to experimental or real-world applications. Ability to work independently and communicate well in an international team. Research environment The PhD project will be
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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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. Structured work attitude and ability to plan and carry out sophisticated research activities in collaboration with your supervisors. Excellent communication skills in English, both written and spoken. You must
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computer programming language is expected. 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
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definite advantage. We’re hoping you’re someone who’s curious about biomaterial development, drug delivery, and translational medicine. You communicate fluently in English and thrive both when working
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biocompatibility in collaboration with other students and project partners. We are seeking a highly motivated candidate who can work effectively both independently and as part of a team, and who communicates clearly
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analytical and problem-solving skills Excellent written and verbal communication skills in English Ability to work independently and in cross-functional teams Qualification requirements PhD stipends
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preparation and analysis. Excellent written and oral English language communication skills. Highly organized with strong attention to details and a focus on quality results You must hold a master’s degree or
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently