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• Active participation in several research cruises per year (approx. two weeks each) in the North and Baltic Sea • Taxonomic identification and quantitative analysis of marine benthic infauna and epifauna
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analysis knowledge Fluent in written and spoken English French might be needed Excellent writing skills Strong oral and written communications skills Master the Pack Office soft skills Outstanding teamwork
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis of innovative broadband bulk acoustic liners in the presence
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courses in finance such as Business Finance, Financial Analysis, Forecasting, Commercial Banking, and other related finance courses. Nondiscrimination Statement State and Federal law permit California
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns
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the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Minimum Qualification
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, spatial transcriptomics). 3: Creating bespoke analytical pipelines for analysis of Drosophila spatial transcriptomics data. The successful candidate will also be expected to contribute to the formulation
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growth inhibition assays). Participation in data analysis and report writing. Required Profile: Student in Master 2 or engineering school in biology, biochemistry, biotechnology, or microbiology
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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field-10 val. b)Knowledge of data analysis (weighting of 0,15) - maximum 15 values With advanced knowledge and experience in data analysis-15 val. With knowledge and experience in data analysis-10 val