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mutation data analysis The successful candidate will play a key role in methodological development, single cell data analysis and somatic mutation identification, working closely with clinicians and
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detection and identification, in continuous production lines where goods such as polymer products, textiles, or food are transported on conveyor belts. The challenge in such processes lies in the nature
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role in curating biological samples and research collections. Integrative taxonomic skills and experience in sample identification and classification are essential. The support provided by this position
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE E TECNOLOGIE AGRO-ALIMENTARI | Italy | 27 days ago
; • the identification of the optimal design of the measures; • the cost–benefit analysis of the interventions. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply
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campus areas on foot, in vehicles, or by other means. Work involves operation of an access control point guardhouse, which includes checking identification documentation for persons and vehicles entering
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visualizations that allow the identification of consumption patterns, critical zones, energy efficiency opportunities and impacts of urban policy measures. Work Plan Development and improvement of interactive
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 27 days ago
that led to the population explosion of the blue crab and identification of future climate scenarios,derived from Euro-Cordex simulations under current IPCC scenarios up to 2100, of such environmental
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diseases. • Support the identification of gaps and opportunities to strengthen research networks in the field of potentially pandemic infectious diseases. Where to apply Website http://www.univr.it
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the entire regional tourism offer based on selfreported information. This enables visualisation of tourism distribution patterns on digital maps and the identification of key segments for sustainability
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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with