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expert knowledge of many-body quantum physics and proven track record contributing to research innovation. You will have strong expertise in research methods and ability to develop/lead independent yet
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possess good collaborative skills. The willingness to cooperate with other PhD-, MSc students and researchers involved in this international project is essential. Personal suitability for the position will
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applications is a plus. Knowledge on optical and electrical semiconductor defect characterization. Experience with semiconductor processing in a cleanroom facility. Experience with training other users in
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experience from or competence in radiation detectors (design, construction, operations or data analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and
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Jobbnorge. Based on the expert committee’s assessment, relevant applicants will be invited to an interview. References will also be obtained for relevant candidates. Employment at USN is carried out in
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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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. Knowledge and experience in social science research methodologies. Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity
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use these conversion scales to calculate your points for admission. It will be an advantage if you have: experience with or knowledge in optimisation, operations research, control theory, energy system
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range for this position is $58,000 - $62,000. Factors used to determine salary include experience, knowledge and skills for the position. You are encouraged to discuss salary questions to honor
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the position: Good understanding of ethical theory, measurement of health and wellbeing, and key principles for priority setting in public health is required The applicant’s personal suitability for the position