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-on experience in the design, construction, commissioning, and operation of complex experimental setups Programming experience in scientific computing environments (e.g., Python, MATLAB) Independent, proactive
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, Quebec, Canada, H3G 0B1 where you will have access to a desktop computer, network and statistical and image analysis software. The postdoctoral appointment will not involve any clinical service to hospital
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specialists in organic and inorganic synthesis, coordination chemistry, thermodynamics, laser spectroscopy, materials characterization, chemical separations, computational chemistry, and nuclear chemistry. Our
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. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
project partners across marine ecology, fisheries science, data science, Indigenous/local knowledge interfaces, and science-policy processes Your Profile A PhD in natural sciences Strong background in
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal
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/ contrast agents Signal processing or computational imaging Demonstrated research productivity (e.g., peer-reviewed publications) Strong communication and teamwork skills Preferred Qualifications Experience
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, and modulation, validated on a down-scaled prototype. Where you will work You carry out this position at TU/e Eindhoven within HyCARB, a national programme funded by the National Growth Fund via
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows