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, publication, and presentation of results at national and international conferences and in peer-reviewed journals Your profile For being part of the selection process is needed: University degree (Master/ Dipl
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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) recording, near-infrared spectroscopy, peripheral biosignals, offline and online signal processing of brain signals and other biosignals, feature extraction, machine learning methods applied to brain patterns
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FEDER funds (COMPETE 2030) and national funds by FCT/MECI, operation no. 16373, under reference COMPETE2030-FEDER- 00753700, in the area of biotechnology under a work contract for a non-fixed term, aiming
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provide a unique opportunity for PhD research and training in modern plant science. Understanding the fundamental processes of how plants grow, reproduce and interact with the abiotic and biotic environment
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(with openness to learning others): Computational protein design or molecular modeling Protein biochemistry / structural biology Cell biology and receptor signaling Good communication skills in English
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. Determine how plant P sensing and signalling influence mycorrhizal colonization and responses. 2. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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more complete picture of the applicant's scientific achievements. Evaluation criteria. The research project and the interview with the applicant will be evaluated on a 10-point system. The research
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adipose tissue. In particular, we will study the role of different membrane receptors and their signaling pathways in the browning process. The various techniques used will include cell biology and genetic