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upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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are defined and incumbent uses existing practices as guidelines to determine specific work methods and carries out work activities independently; supervisor is available to resolve problems. Involves general
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and
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for Science and Technology, Exploratory Research Projects in All Scientific Domains 2024, under the following conditions: 1.Scientific Area: Computer Sciences. 2.Admission Requirements: The call is open to
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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment
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the European seismic hazard map and the new national map for Portugal. - Assess the impact of updated hazard values on damage estimates, structural safety, and economic losses. - Develop an updated seismic risk
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Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include, but are not
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into how μ-opioid signaling shapes addiction risk. This PhD project (Work Package 4) aims to use advanced computational methods to elucidate the structural and functional consequences of the R181C mutation