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Field
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
organism Proficiency in laboratory techniques, including OECD fish test protocols, histopathology analysis, and behavior analysis. It is an advantage if the candidate has experience in statistical analysis
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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computational methods to extract infection dynamics from individual cells Integrating experimental observations with mathematical and statistical models of phage-host interactions. The successful applicant will
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: Artificial intelligence and machine learning. Human-computer interaction, behavioural research or experimental design. Computer vision, audio analysis or multimodal data analysis. Statistics, psychometrics
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral researchers benefit from a structured
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, antimicrobial resistance, and ideally metagenomics or microbial genomics. Quantitative, statistical & bioinformatics skills Experience analysing complex longitudinal datasets, proficiency in R and/or Python, and
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countries. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Experience with statistical analyses
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
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high-frequency or “flash” trading based on sheer speed of execution might have reached its limit, we see continued opportunities with our strategy of using statistical research to outsmart
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observables, including: the spatial distribution and migration of seismicity, magnitude-frequency statistics and temporal clustering, source properties (strain drop, duration, moment-duration scaling), and