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/MSCA fellow for the project: “The impact of menopause transition on women’s brain health with focus on AD risk.” The position is part of the EU-funded Marie Skłodowska-Curie Actions Doctoral Network
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facilities to carry out state-of-the-art research in plant molecular biology and agronomic science, and a unique, stimulating work environment. Researchers enrolled under the framework of the FPI Program will
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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional
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) across time and modality Analysing functional and structural brain recordings Writing research papers under the supervision of the PIs, aiming to publish at top-tier journals Dissemination of results
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tool development for synthetic biology, such as CRISPRi-based circuits (Santos-Moreno et al. 2020, Nat Commun ) or modular cloning approaches (Santos-Moreno & Schaerli 2019, ACS Synth Biol ); the use
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strategies for Energy Communities. - Development of Virtual Power Plants. - Conducting fieldwork for data analysis. Where to apply E-mail contratos.spv@gmail.com Requirements Research FieldTechnology » Energy
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and
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radiopharmaceuticals for use in clinical diagnosis. Specifically, the person hired will collaborate in the computational study to support the analysis and understanding of the physicochemical properties of new systems
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analysis (highly desirable). Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a multidisciplinary team. Proactive attitude. Fluent in English
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translational oncology. Experience in cell culture of cancer cell lines and primary cultures, viral work and study of cell toxicity and similar by confocal, FACS, and molecular biology techniques as qRT-PCR