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Field
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-completed PhD (within the last 0-5 years) in field of physics, engineering, or a closely related field Demonstrated programming proficiency in C/C++, Python, or another scientific programming language
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. A collaborative and supportive work environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources
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, microscopy, image analysis, and molecular biology. Requirements To be eligible for this position, you must hold a PhD or a foreign degree deemed equivalent in systems biology, biophysics, molecular biology
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Computer Science, Engineering or a related field. Experience in some or all of the following or related fields are preferred: biomedical image processing, image or signal processing, software development
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autocorrelation, and photonic band-structure measurements. Applicants must hold a Ph.D. in Physics, Chemistry, Chemical Engineering, Materials Science, or a related field. The Pine group offers a dynamic and highly
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/12/2025 Application process open
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Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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23 Nov 2025 Job Information Organisation/Company Itä-Suomen yliopisto Department The Faculty of Science, Forestry and Technology, Department of Environmental and Biological Sciences Research Field
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and master students. Where to apply Website https://www.academictransfer.com/en/jobs/356604/postdoc-in-ai-for-cardiovascula… Requirements Specific Requirements You have a PhD degree in medical image