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research projects from research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree
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. Bioinformatics data mining, genomic data analysis, and population genetic diversity data analysis and mining. 3. Applicable Law: Decree-Law No. 57/2016, of August 29, amended by Law No. 57/2017, of July 19
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for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Automatic control or electrical and electronics engineering or related subject. A doctoral degree awarded no more than
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/develop predictive models that can inform future land management and conservation strategies. Responsibilities • Data mining: Compile, review and complete pollen data and age-depth models from existing
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In this position you will have the opportunity to: map a high grade gold deposit, generate novel Raman spectra to be added to the rruff database, network with mining and exploration geologists, and
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
(2) Sales & Retail (2) Technical Support (2) Data Analytics (1) Legal & Compliance (1) Technician - Miscellaneous (1) Job Family More Less Job Posted In Job Posted In Received data for node
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20 Feb 2026 Job Information Organisation/Company Centro de Engenharia Biológica da Universidade do Minho Department Engenharia Biológica Research Field Biological sciences » Biological engineering
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research projects from research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree
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agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Automatic control
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, textural properties), using automatic literature mining tools; c) Active participation in data preprocessing, property engineering, and selection of relevant variables for training machine learning models