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master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 29 days ago
performance and experience relevant to the scientific area and the project work-plan, including participation in R&D projects (especially the areas valued in point 2 of this notice) and international networking
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/listPublicacionsAmbCategoria?categoria.id=803896 link to the application process (active during the application period): http://www.ub.edu/caiac/solBeca?idConvocatoria=50325 Where to apply Website http://www.ub.edu/caiac
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: Working knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal
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to point 7.6.11 of the Procedure for the recruitment and selection of personnel for nomination/employment within projects financed from non-reimbursable European funds, if there is only one candidate for a
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career in academia, research labs, or the privacy-tech industry [11]. Selection process Equal Employment Opportunity: IMDEA Networks Institute aims to increase the proportion of women and therefore
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, at the University of Coimbra. Reference: Project No.: 15621 - Operation Code: COMPETE2030-FEDER-00669700 Title: EVOLUTION - Modulation of bioactivity and targeting capacity of extracellular vesicles for the treatment
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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of Coimbra, under the project number 16906 - operation code: COMPETE2030-FEDER-00818900, entitled "Mucosal vaccines based on parasite extracellular vesicles. Programme and competition MPr-2023-12 - SACCCT
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning