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available from 1.1.2026 to 31.12.2028. The position This role offers a unique opportunity to apply and integrate advanced image processing techniques to progress the fields of biomedical and life sciences
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recruitment system. To begin the application process, please click on the "Apply for the position" option. Internal applicants are required to submit their applications via the SAP Fiori portal. Applications
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spoken and written English, as an asset, ability to coordinate projects involving experts from materials physics, device design, manufacturing processes and characterization, for senior scientist positions
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integrated circuit design. Possible focus areas can include, but are not limited to, machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing hardware
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opportunity to apply and integrate advanced image processing techniques to progress the fields of biomedical and life sciences. Working within a team of biologists, physicists and engineers, the specialist will
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invited to an on-site or remote interview. All applicants will be notified during the selection process. We welcome applicants from different backgrounds, such as people of different ages, different genders
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for the responsible evaluation of a researcher in Finland . JYU has signed the DORA Declaration . By signing the agreement, JYU is committed to complying with the CoARA principles. Our application process is
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. Further information on the recruitment process may be obtained from HR Specialist Harri Hamara, harri.hamara(at)helsinki.fi . In case you need support with the recruitment system, please contact recruitment
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performing statistical analysis, developing statistical approaches, performing Monte Carlo simulations, processing field and remote sensing data, writing scientific articles in national and international
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of the South Karelia region, covering nine municipalities. At the Well-being services county of South Karelia, the professorship supports the development of the county’s system of operation based on lean