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Job Code: 05-2025 Job Offer from September 05, 2025 The “Muscle Metabolism and Ageing” group is interested in understanding the regula-tion of anabolic and catabolic processes in skeletal muscle
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: Evaluation of the impact of the technical specificities of dispatchability and the hierarchy of the operation of power plants (unit commitment) in the long-term energy scenarios defined in the above-mentioned
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the contractualization process. Other benefits: Reimbursement of Voluntary Social Insurance, if the candidate chooses to receive it, corresponding to the 1st level of discounts (for research grants with a total duration 6
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will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be
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national funds through the Fundação para a Ciência e Tecnologia (FCT), relating to operation nº. 16506, operation code at the Balcão dos Fundos COMPETE2030-FEDER-00767700, and within the scope
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experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about collaborating with partners
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with the potential to collaborate in developing competitive research grant applications. Applicants must indicate the Research Cluster(s) concerned in their research proposal. Job Description Researchers
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annually by decision of the Management Board. Payment is made on the 23st of each month, through bank transfer to the Bank Identification Number of the fellow identified in the contracting process. Other
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/wordpress/ ) at the University of Cincinnati. The post-doctoral trainee will be performing functional analysis of proteins involved in cell signaling in Trypanosoma cruzi. Dr. Lander’s recent funded NIH grant
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expedite research findings on understanding fundamental plant growth and developmental processes. The participant will gain advanced genetic and genomic knowledge on grapevine stress responses and enable