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products or hydrographic data analysis is desirable Familiarity with joint community and predictive ecological modelling is a strong asset Languages Fluent in English (written and spoken). Catalan or Spanish
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Specialist B Job Profile Title Research Specialist B Job Description Summary The laboratory studies breast and ovarian cancer with the goal of predicting response to therapy and developing new therapies (test
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-ever Immune Digital Twin – a personalizable computer replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
1801P.01158.1.04, financed by national funds through FCT/MCTES Workplan: To develop a two-stage multi-scale vision-language model for the identification and classification of breast lesions in high
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analytical approaches and technological tools (e.g., artificial intelligence, remote sensing, environmental informatics, predictive modeling, and/or environmental genomics). Research should address pressing
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, better adapted individuals can be selected at the seedling stage using only genetic data, accelerating the breeding cycle. Incorporating information about plasticity can aid genomic prediction modeling
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Join an exciting
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build a computational model of SIHUMIx to predict new interactions and how the community reacts to disturbances—predictions that will later be tested in bioreactor experiments This work will give us a
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design, descriptive and predictive modeling (turnover, hiring, performance), and dashboard development for HR stakeholders. Emphasis on translating data into actionable workforce strategy. Responsibilities
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pain, a critical and currently missing component in translational research. These new models are intended to enable accurate prediction of analgesic efficacy and disease-modifying effects of novel