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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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to an interview. Further information about the appointment process is available here. Formal regulations: Applicants who have previously held a PhD fellowship at the University of Bergen are not eligible to apply
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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to work independently, establish new techniques and present data (scientific writing and oral communication) Fluency in both oral and written English At least basic German language knowledge Experience with
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contribute to the design, execution, and interpretation of research projects • Perform computational analyses, including data processing, modelling, and interpretation of results • Contribute
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 16 hours ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 16 hours ago
on clinical data for device performance evaluation, durability issues in implants, and insufficient tools for predicting clinical outcomes. To fill these gaps, the program develops in vitro, in vivo, and