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will perform live-cell imaging experiments and analyze data You will collaborate with other members of the team in advance microscopy and super-resolution techniques You will develop leadership skills
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spoken Good knowledge of German Good knowledge of Spanish or Portuguese Also welcome are: Regional research connections to Latin America Teaching experience in a university context Prior experience in
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#publish findings in international peer-reviewed journals #PhD in Geography, Sustainability Sciences, Ecological or Environmental Economics, System Dynamics, or related fields #proven experience in system
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modern ML tools Experience in computational neuroscience, vision science, or model evaluation Strong communication skills and enthusiasm for collaborative, open science What We Offer A vibrant
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spectroscopic or microscopic methods and subsequent optimization Advancements of experiments, measuring methods and measuring technology and improvement of experimental equipment Presentation of results
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background and no prior experience in experimental soft matter physics or biomaterials, but a strong interest in learning, are encouraged to apply. Most important is an interdisciplinary interest and the
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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committed work style Advanced experience in preparing data according to conversation-analytic criteria and standards (e.g., transcription, metadata documentation) and relevant tools (FOLKER, ELAN, etc
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methods and ideas PhD in Physics, meteorology or a related subject Experience with running and evaluating models English skills that allow one to communicate in an international working environment, and to
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
description Single molecule X-ray scattering experiments with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing