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research team. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of artificial intelligence reasoning and renewable energy analytics. Job
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metabolism and human physiology. Experience with clinical research and/or experimental medicine studies necessary. Analytical Skills: Proficiency in data analysis and statistical software. Experience with high
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language processing/deep learning applications to healthcare. They will also lead or assist drafting analytical sections for peer-review publication for various project. Responsibilities will also include participating
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involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
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impact. Academic Leadership The Fellow will work under the supervision of internationally recognised experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is
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qualifications PhD in molecular biology, biomedicine, biochemistry, or a related field. Experience in genomics tool. Strong analytical, organizational, and record-keeping skills. Good communication skill in
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analytics and decision-making; Designing energy-efficient, low-latency communication strategies; Publishing high-impact research and contributing to outreach and dissemination activities. In addition, you
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(Position number: 16-2025 Postdoc Economics) The position is funded for 24 months. An extension is possible, conditional on available project funding. Remuneration is in accordance with the German public
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Danish time. Research Project You will lead a research project with the aim to understand the molecular mechanism that allows the transition zone (TZ), a conserved protein complex with unknown molecular