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development Strong analytical skills and experience in fragment ion interpretation and data curation Ability to work independently and drive complex experimental projects Desirable Qualifications Experience
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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or women’s health. The applicant must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Experience
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, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis
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analytical thinking and attention to experimental quality; proactive problem-solving mindset; committed to collegiality, good laboratory practice, and a constructive team culture. Who we are The Department
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proliferation and the faithful transmission of genetic information to daughter cells. However, replication forks are constantly challenged by a wide range of intrinsic and extrinsic stressors, including metabolic
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utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies the impact of early life
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(SAR) and antibacterial drug design. Hands-on experience with purification and analytical techniques. Starting date: 1 March 2026 or soon thereafter. The position is for 12 months but could be extended
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Postdoc position to support international research and capacity-building projects employing elect...
of large-scale EM data for groundwater mapping. Teaching and training of Ethiopian partners and students in EM methods, data processing workflows, inversion software, and geological interpretation