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- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
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molecular imaging Team with access to both cutting-edge instrumentation for preclinical imaging and world-renowned expertise. Together, we are developing next-generation whole-body imaging tools for cancer
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determination: Bradford, ELISA technique, multiplex LUMINEX technology Methods for the analysis of gene and protein expression data References: Alberts B. et al., Molecular Biology of the Cell. Sixth Edition
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 6 days ago
. Candidates with technical and scientific knowledge in nanotoxicology, molecular techniques (omics), and bioinformatics tools will be highly valorised. Project management and communication experience will also
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through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs into active learning frameworks Explore automated dataset
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simulation techniques, including density functional theory (DFT), molecular dynamics, Monte Carlo methods, and free‑energy perturbation calculations. Develop and implement novel computational methodologies and
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, 02-776 Warsaw POSITION: research-didactic Adjunct FIELD: natural sciences SCIENTIFIC DISCIPLINE: biological sciences KEYWORDS: molecular biology, functional omics, molecular network construction
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IBMC – Institute for Molecular and Cell Biology, is opening a call to one, PhD holder, for a Junior Researcher position, in an unfixed term work contract, to carry out research functions within
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study strand displacement technology in more complex, hybrid environments to demonstrate predictive models that can account for these more complex settings. Using molecular-level simulations, basic theory
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As part of the Nordic EMBL Partnership for Molecular Medicine, the Institute for Molecular Medicine Finland (FIMM) is recruiting 4–5 doctoral researchers in the FIMM-EMBL International PhD Programme
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datasets across broad chemical space Evaluate models through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs