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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM
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. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and
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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
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internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following
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-year master's degree and with an interest in simulation and machine learning. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your
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analyse your data You will be coordinating the collaboration with CCIT, which involves retrieving samples and clinical data from a team of doctors. You will have to present in lab and section meetings
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(peressotti@sdu.dk ). Please send out any inquiries to the abovementioned email addresses. Candidate profile We are looking for highly motivated candidates interested in the foundations and the principles
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, the third largest city in Denmark. Odense provides family-friendly living conditions, with the perfect combination of a historic city centre with an urban and vibrant feel and yet close proximity to beaches
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this information in conjunction with advanced 3D spheroid CRISPR screens and functional analyses to understand how cancer cells sense and react to key aspects of their environment. Finally, we will combine
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about the position, please contact: Head of Department Andrea Carugati, e-mail ac.digi@cbs.dk . Information about the department may be found at www.cbs.dk/digi . Appointment and salary will be in