Role of biochemistry and physiology of crops in resistance to environmental stresses. Improvement of the use of plant residues.

The Economic Geology of Mineral Resources research group is formed by a team with extensive experience in the study of geological resources and its activity revolves around four areas: (1) Characterization, genesis and assessment of mineral resources; (2) Mineral processing and metallurgy; (3) Mining heritage; and (4) Natural stone, historical quarries and architectural heritage. The group actively participates in European projects such as Promine, Foram, Minerals4EU, GeoERA (Frame, Mintel4EU, Eurolithos), and international projects in Latin America and Africa, such as Planageo.

The research of the Optomechanics lab is focused on the light-matter interaction at the nanoscale, especially the exchange of electromagnetic and mechanical energy in enginereed nanophotonic cavities with applications in the area of sensors, as well as the nanofabrication and modeling of nanostructures The areas of application of these studies at the nanoscale are grouped into - Development of new diagnostic techniques for diseases through the development of new optomechanical biosensors - Development of new devices based on quantum optomechanics for the transfer of information

We are a group of scientists that use ecological studies to advance knowledge required for the sustainable management of natural resources. We work with several study systems, but have a particular interest in the ecology and behavior of particular species (e.g. the Cantabrian brown bear (Ursus arctos) and the white-winged snowfinch (Montifringilla nivalis nivalis) and systems (e.g.

We study biodiversity and its effects on ecosystems from the perspective of spatial and landscape ecology, with both theoretical and applied focus. We analyze the relationship between biodiversity and ecosystem functions across different temporal and spatial scales, considering functional traits, ecological interactions, and landscape dynamics. Our applied research is focused on nature conservation and human well-being in human-disturbed ecosystems.

The BioFunLab, led by Manuel Delgado Baquerizo, aims to advance our understanding of biodiversity and ecosystem functioning in natural, agricultural and urban ecosystems from a changing world. The BioFunLab main research objectives include (1) investigating the structure and function of environmental microbiomes, (2) assessing the effects of global change drivers on biodiversity and function, (3) unrevealing global ecosystem patterns, and (4) creating global atlas of biodiversity and function.

Our research focus on understanding the eco-evolutionary effects of environmental variability in the life-histories of ectothermic vertebrates, examining the impacts of both natural and anthropogenic changes in environmental conditions. The EECEV group brings together research on evolutionary, behavioural, epidemiological and ecophysiological processes in amphibians and other ectothermic vertebrates, a group strongly affected by global change drivers.

Our research group is interested in studying the molecular mechanisms that lead to the degeneration of the photoreceptors and the retinal pigment epithelium (RPE) in degenerative retinal pathologies that produce blindness, such as age-related macular degeneration (AMD) and retinitis pigmentosa (RP). Based on the basic knowledge obtained from studies on disease mechanisms, we focus on developing new pharmacological treatments and advanced therapies (gene and cell therapy) for these diseases.

Our laboratory is currently focused on understanding the role of mitochondria-associated ER membranes (MAM) in the overall lipid homeostasis of neurons In particular, we are trying to unveil the mechanism(s) by which perturbations in mitochondria-associated ER membranes (MAM) and lipid signaling underlie synaptic dysfunction and/or neuronal death in various disorders, including Alzheimer's disease and Amyotrophic Lateral Sclerosis We are also specialized in the identification of lipid biomarkers that either segregate with or predict clinical outcomes of neurological disorders, such as Alzheime