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» Biology Medical sciences » Medicine Technology » Biotechnology Computer science Biological sciences » Nutritional sciences Researcher Profile Leading Researcher (R4) Established Researcher (R3) Application
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. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Plasma, Materials, Electrical Engineering, Computer Engineering or related discipline. Demonstrated experience in optical surface characterization
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scienceEducation LevelPhD or equivalent Skills/Qualifications PhD degree in Computer Engineering, Computer Science, Information Technology, Systems Engineering, or a related field. Strong knowledge of cybersecurity
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the PhD project will be to acquire a thorough understanding of the PROVERIF resolution engine and its underlying theoretical foundations. The main scientific goal will then be to extend this resolution
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Aug 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded
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Required PhD in chemistry, physics, materials science, chemical engineering, bioengineering, or a closely related field Strong problem-solving skills and a high level of self-motivation Experience with
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. Applicants should meet the following qualifications and possess relevant expertise: A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field, with a strong experimental research
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the principles of ethics, especially the Academic Code of Ethics of the Warsaw University of Technology. Where to apply Website https://wa.pwr.edu.pl/en/ Requirements Research FieldArchitecture » OtherEducation
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involved in all phases of this process. You will Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML