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demonstrate equivalent research experience and qualifications. Experience in both wet-lab and dry-lab research is beneficial. You must have expertise in analysis of large-scale genomic data and confidence in R
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experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot-scale trials involving membrane and/or food processing technologies, experience
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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the management, analysis, and presentation of laboratory data and clinical data providedby our clinical collaborators who obtain the muscle biopsies. Making use of these data, the successfulcandidate will assist
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) | Austria | about 2 months ago
, or interpretation of theoretical models or experimental data. Contribute to the preparation of research proposals and collaborative grant applications. Provide scientific guidance and mentoring to PhD students and
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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team
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to work independently and collaboratively • Strong organizational, communication, and data analysis skills • Track record of peer-reviewed publications
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a