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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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researchers addressing complementary topics and methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology
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of Plant Biotechnology and Bioinformatics, Ghent University, Belgium (PhD degree affiliation) KR01 – Department of Environmental Technology, Food Technology, Molecular Biotechnology, Ghent University Global
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. Qualifications Eligible applicants are required to have an M.Sc. or equivalent degree, which must be in a relevant field of research, such as molecular biology or cell biology, microbiology and/or virology
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relevant field of research, such as molecular biology or cell biology, microbiology and/or virology, biochemistry, genetics, or biotechnology, to provide applicable skills and knowledge. Prior experience in
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samples for air-borne human and non-human eDNA, and to process sequences for analysis in a forensic context. The expected outcome is the validation of a method in simulated crime scenes. Funding: Doctoral
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
scientific subjects: cellular or developmental neurosciences, regulation of protein function by PTMs, gene expression regulation; Solid hands-on expertise in cell culture; Basic skills in molecular biology
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 15 days ago
Internationalization Operational Program (COMPETE 2030), to be developed at CIIMAR (Interdisciplinary Centre for Marine and Environmental Research) with the following conditions: 1.Scientific Area: Molecular Biology 2
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Are you passionate about cutting-edge fundamental research on molecular and 2D materials heterostructures? Are you looking to pursue your PhD in an excellent, interdisciplinary research environment
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! You will demonstrated expertise in developing machine-learning interatomic potentials (MLIPs) for large-scale molecular dynamics (MD) simulations of materials. Together, we will push the boundaries