29 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Southern Denmark in Denmark
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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activities within the areas of embedded software. The position requires a PhD degree within a relevant area (e.g. software, computer, or control engineering) and the desired candidate is expected to have
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developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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research areas. Profile and requirements You have a PhD degree in Software Engineering, Computer Science, Cybersecurity, or a related field. You have experience in publishing research in high-impact
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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requirements: PhD degree in vision science, psychology, cognitive (neuro)science, or a related field Expertise in visual perception. Experience with auditory or multisensory perception is a plus. Good command of
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meeting the criteria for both positions are encouraged to apply for both positions separately. Project description Many adults suffer from hearing and vision (‘dual-sensory’) loss. Because these losses
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the possibility of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In