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samples, physical-chemical analysis (pH, ºBrix, acidity, color, among other parameters), quantification of captan and its metabolites, as well as validation of the analytical method. Preparation and conduct
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of construction elements – 5 points; Previous experience in Life Cycle Assessment – 3 points. The curriculum of each candidate will be evaluated in a 1-20 points scale. Candidates with less than 12 points in
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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documents to attach when applying: Any other elements the candidate considers relevant. Motivation letter References Accredited certificate in animal experimentation (Category B or higher) VIII.III - All
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 10 days ago
) To administer substances intraocularly in in vivo models of disease; b) To carry out the analysis of biological samples through imaging and biochemical techniques; c) Write reports and SOPs. d) Perform laboratory
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of elements not mentioned in the curriculum vitae, nor for the addition of missing documents required by this Notice; b) all tenderers are informed that additional documentation has been requested. 12. False
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terms: a) the documentation referred to is not intended for the presentation of elements not mentioned in the curriculum vitae, nor for the addition of missing documents required by this Notice; b) all
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research methods (platform biography, policy analysis, app walkthrough, website analysis). How to apply Apply for this scholarship at the same time you apply for admission to a QUT Master of Philosophy
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or interpolated. Preferences Requirements: TOPIC A: Preference will also be given to candidates with experience in: (a) processing and analysis of genetic data, namely microsatellite and single nucleotide
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) processing, analysis and interpretation of the structural monitoring results of historical built assets using artificial intelligence techniques; ii) development of structural digital twins of historical built