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acquisition and clinical interpretation. The aim of this postdoctoral project is to develop and evaluate AI‑based methods that reduce operator dependence in ultrasound imaging, with a focus on clinically
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immunological methods. Practical experience and methodological expertise in immune repertoire sequencing (VDJ) and/or RNA sequencing (RNA-seq) are highly desirable. Experience with cell sorting using flow
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advanced epidemiological and statistical methods and collaborates closely with national register holders and multidisciplinary researchers in psychiatry, epidemiology, and biostatistics. Project description
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. The project will combine cellular and molecular methods with structural studies using cryo-electron tomography. We offer a unique setup for this project in terms of a collaborative environment between six
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with
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knowledge of the physical, chemical and material science methods that are relevant to work with biochar and biomass processes is required. You also have experience in the conversion of biomass into chemical
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computing, applied mathematics, computational physics, or another relevant discipline is required, Other requirements Required qualifications include strong skills in numerical method development
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relevant to the subject area. The candidate must have a PhD in a relevant area such as muscle biology, developmental biology, molecular biology or related discipline or equivalent and should have profound
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are: A PhD degree (or a foreign degree deemed equivalent) in Chemistry, Physics, Materials Science, or a closely related field. Documented experience in the synthesis and purification of organic
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of doctor is expected to be obtained. Certified copies of diplomas, list of completed academic courses and grades Copy of or link to PhD thesis and max five relevant publications, Names and contact details