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Field
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integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time
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will be applied to melanoma samples to characterise tumour and immune cell organisation across multiple molecular layers. During a secondment at Intelligent Biodata (4 months, Spain; co-supervisor Dr
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-340 I - Legal admission requirements I.I - Grant Recipients: Master’s degree holders, in the scientific area of bioengineering, molecular and cellular biology, biomedical research, biotechnology
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use for materials design. To address this challenge, the project will combine molecular dynamics-generated synthetic microstructures, physics-based forward diffraction models, and generative AI
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understanding of the molecular mechanisms underlying MS with access to world-class clinical cohorts. You will benefit from a collaborative, interdisciplinary, and international research environment dedicated
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quantum chemistry software capable of simulating molecules Ideally, prior experience with embedding methods or molecular crystals Excellent knowledge of written and spoken German and English Scientific
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
models. Increasing the performance of integration algorithms and model simulations, and developing machine learning methods for analyzing genomic data. Where to apply Website https://system.erecruiter.pl
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minimum score of 40 points in the selection criteria detailed in Blocks 1 and 2. The minimum score required to be included on the waiting list will be 60 points. Where to apply Website https://sede.udc.gal
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
behavioral analysis with behavioural tests and molecular techniques. The researcher will also provide support in project management. 2. Applicable Portuguese legislation Decree No. 57/2016, of August 29
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment