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LevelUndergraduate Skills/Qualifications Degree in biosciences, statistics, engineer, bioinformatics or similar. Key skills: • Conduct high-quality computational analysis • Experience in data handling and cleaning
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process for the recruitment of one Bachelor Degree, to join the Cancer Research Foundation of the University of Salamanca, located in the Cancer Research Centre of Salamanca, on a competitive basis, with
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contract Specific Requirements The selection process will consist of a competitive evaluation based on the merits detailed below, all of which must be held by the closing date for submission of applications
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Selection and access process by the internal promotion system
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? Professional experience You have experience with computer programming Experience with biological data analysis is a plus Education and training You have a bachelor’s or master’s degree in bioinformatics
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bioinformatician to join the Evolutionary Processes Modeling group. The selected candidate will be responsible for the analysis of DNA sequencing data derived from a unique cohort of animal tumors. Responsibilities
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FieldEnvironmental science » OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Expertise in equation oriented modelling with Matlab or Scilab. Process simulation in commercial software such as
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9 Mar 2026 Job Information Organisation/Company University of Valladolid Department Institute of Sustainable Processes Research Field Technology » Biotechnology Technology » Environmental technology
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16 Mar 2026 Job Information Organisation/Company Universitat Politècnica de València Department HR Research Field Computer science » Systems design Researcher Profile Established Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 17 Apr 2026 - 23:59...
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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where