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thesis project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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candidate who: Holds an educational background in natural sciences or a related field. Has experience with literature research (e.g. Web of Science) and report preparation. Shows a commitment to learning
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of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive
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supply, cooling, or shielding/activation. Proficiency in neutronics codes (OpenMC, MCNP, Serpent) or thermo-mechanical tools (ANSYS, COMSOL); or capacity for rapid learning. Ability to maintain disciplined
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frameworks for disorder and property fluctuations will be considered and can compensate for limited prior experience in fracture mechanics. You should be motivated to learn new theories and to integrate them
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integrates, develops, and disseminates knowledge of farm animal management and relationships between actors and animals. Researchers in the section teach BSc, MSc and PhDs in animal and veterinary science
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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results at conferences, Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students You must have a PhD in macro-energy system modelling or a similar field. Strong coding skills
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experience in developing software for processing SURE and ULM data Have a desire to advance the field and help PhD students learn We offer DTU is a leading technical university globally recognized