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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
Conjugates for Targeted Chemotherapy and Radiotherapy Duration: 12 months Maximum Duration Including Renewals: 24 months Objectives Design and synthesize optimized FAP binding proteins possessing varying
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
-criteria evaluation and identification of optimal retrofit strategies. The scholarship holder will therefore work within the scope of assessing the energy performance and environmental impact of existing
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environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimize both the usage of the power grid resources, and the charging stations
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, ensuring their effective integration with the underlying physical and photonic systems. The researcher will focus on the implementation of ML models in Python, contributing to their optimization, scalability
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
of reducing the impact of stress factors and improving production efficiency from the early stages of fish development. In i3S, the FORTIFISH functional solution will be tested aiming to optimize adult
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the RNA & Gene Regulation Laboratory coordinated by Maria Carmo-Fonseca, under the research project “Novo Nordisk Foundation Center for Optimized Oligo Escape and Control of Disease” (NNF23OC0081287
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 30 days ago
to feed juvenile seabass in a pilot study. The most promising SCP from pilot study will undergo a validation study under EFSA recommendations with different levels of PP replacement to determine optimal
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experience in the development of biosensors, preferably applied to the biomedical field, ranging from the design and optimization of sensory platforms to validation in relevant healthcare contexts. 5
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to optimize phenotype/physiological space through mechanistic diagnosis and simulations; - Develop an AI-driven platform that fuses SB and real-time field spectral data to advance precision viticulture