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of the research project “PAINLESSFISH - Improving fish welfare in aquaculture with natural analgesics”, no. 15468, operation code COMPETE2030-FEDER-00915000”, funded by the SACCCT Programme – Scientific Research
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Superior de Engenharia do Porto, approved by Order no. 2863/2018, of 23 February, published in the Diário da República, 2nd series, no. 56, of 20 March, the opening of an international selection procedure
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exercise the functions of developing new hydrometallurgical processes for the leaching of black mass from lithium-ion batteries and the separation of critical metals using alternative solvents, within
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in parallel with the respective bioinformatics analysis and integration of the data generated. 4. Mandatory Admission Requirements: Master's degree in Biological Sciences or related areas; Proven
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data (e.g. ITS, mtSSU); Experience in the use of molecular databases (GenBank, BOLD SYSTEMS, UNITE); Knowledge of bioinformatics applied to molecular phylogeny (alignments, phylogenetic trees, species
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%] c) Prior experience in Bioinformatics & Data management; [20%] The evaluation process includes the possibility of a professional selection interview for candidates with an assessment higher than 70
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: Agricultural Sciences, Agricultural and Food Biotechnology Admission requirements: Have a Master degree, as well as laboratory experience with molecular Biology protocols. Bioinformatic skills including sequence
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degree as part of the educational project of a higher education institution; c) Have laboratory experience in microbiology, molecular biology and bioinformatics. Selection process The selection methods
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“Challenging the Analytical Diagnosis of Neurodevelopmental Disorders: Pioneering Neurochemical Devices”, funded by FEDER funds (COMPETE 2030) and national funds by FCT/MECI, operation no. 15875, with reference
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: Scientific Area: Biomedical Sciences, Health Sciences, Psychology, Statistics, Mathematics, Computer Science, Bioinformatics or related fields. Admission requirements: Bachelor’s degree in Psychology, Biology