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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
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understanding of material science and electrical transport physics. Experience with electrical characterization of devices, ideally low-noise characterization of magnetometers. A strong drive to move
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candidates will be involved in materials crystallography research in collaboration with other members of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials
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to translational pharmacology, analytical chemistry, and environmental medicine. The department offers a stimulating research environment with dedicated colleagues and a formalized teaching and training program
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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refinement. Publish results in peer-reviewed journals and present findings at international conferences Required Qualifications PhD in proteomics, analytical chemistry, physical chemistry, or a closely related
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chemicals. The analytical chemistry laboratory analyzes the concentrations of drugs and environmental chemicals in various matrices. The department offers a stimulating research environment with dedicated