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with or readiness to supervise PhD projects; Active role in international scientific communities. Teaching : Enthusiasm for teaching and student supervision; Ability to teach in departmental BSc and MSc
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laboratory analysis. Handling of specific software on nutrient dynamics. Experiment tracking. Design and programming of machine learning techniques. Eligibility criteria Agricultural Engineering, or Industrial
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sets before (e.g. DNA-seq, RNA-seq) Experience with modeling, statistical analysis and/or machine learning is a plus Education and training You should have a master's or PhD degree in bioinformatics
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or equivalent Skills/Qualifications Master degree on Electrical and Electronics Engineering, Telecommunication, Computer Engineering, Computer Science, or similar. Exceptional candidates who have completed a
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of the scalability and performance of selected European scientific applications and tools towards Exascale, Data Analytic and Machine learning as well as code refactoring. Key Duties Optimize and adapt scientific
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-fabrication of sensors based on electroacoustic resonators. - Sensor characterization. Database development. - Development and application of algorithms based on machine learning for sensor reading
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 10 days ago
. Master/PhD: Trainings on EU project management will be valued. Experience Required: Experience in project management of the competitive financing ecosystem of research and innovation by the European
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are expected within the project, this specific PhD project will focus primarily on the development of computer simulations. Therefore, relevant candidates are expected to have background skills and interests in
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or equivalent Skills/Qualifications Education BSc, MSc or PhD in Computer Science Essential Knowledge and Professional Experience Knowledge of computer architecture Experience with Unix/Linux environments
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that complement well with the department's research (in multimedia, biomedical engineering, machine learning, artificial intelligence, digital systems of audiovisual technologies, or data science). 4. The candidate