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phenomenological model considering the kinetics of the methane splitting reaction (function of temperature, pressure, and catalyst), and the residence time and type of flow. iv) Development of the lab pilot plant
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Engineering, Mathematics, or other related areas. 5.2 Competencies/qualifications/specific requirements: Scientific areas: Forestry/Earth and Environmental Sciences Skills: Other requirements: - Programming in
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Description Offer description: The University of Trás-os-Montes and Alto Douro (UTAD) open a call for one (1) Research Grant for Electrical and Computer Engineering PhD students in the frame of the R&D project
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applications for a research grant (Master’s Degree), enrolled in PhD or courses that do not confer academic degree, within the framework of project IMPULSE with the reference 101132028, co-financed by European
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Annotation for Training AI Models 2. Development and Optimization of AI Models for Fraud Detection 3. Implementation of an AI Model for Stock Management of Current Dispensers 4. Implementation of a Distributor
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in the field of electrochemical engineering. Position You will work actively on the preparation and defence of a PhD thesis in the field of organic electrosynthesis and electrochemical engineering
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Funds are available to pay the fees of a MSc by Research in Medical and Health Care Studies for a student working on a project that seeks to produce a zebrafish model of episodic ataxia. Ataxia is a
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enrolled in PhD in Chemistry or a course that does not confer an academic degree . Although the recipients must be enrolled in a cycle of studies leading to the attribution of an academic degree or in a
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
of extracellular vesicle contents and assessment of their role in mitigating proteotoxic stress and promoting cell survival using 2D and 3D cell culture models, including retinal organoids. Cell culture, western
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, the work plan includes: Exploratory Data Analysis of unstructured data related to lung cancer patients. - Extraction of structured data with Medical Language Models. - Development of explainability