34 algorithms-phd "INSAIT The Institute for Computer Science" Postdoctoral positions in Finland
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Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions PhD Positions Country Finland Application Deadline 3 Oct 2025 - 16:15 (Europe/Helsinki) Type of Contract Temporary Job Status
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doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent scholarly work. The position also provides the opportunity to co
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that are of practical interest. The postdoctoral researcher will contribute to the theoretical foundations of inverse problems involving wave phenomena, develop cutting-edge computational algorithms, and apply
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biology, biomolecular, and biohybrid materials. Requirements Recently obtained PhD (within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound
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. Qualifications of the postdoctoral researcher The position requires a doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent
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from you: Master's (doctoral researcher) or PhD (post doctoral researcher) degree in psychology, neuroscience, medicine, engineering, computer science or other relevant field. Background in cognitive
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in signal processing and control. Your role and goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating
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a dynamic, international research environment. Your experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong
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collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex
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on the research interests of the candidate, there will also be opportunities to complement existing data with additional field data collection and/or experimentation. We seek candidates who have completed a PhD in