233 computer-programmer-"Prof"-"Embry-Riddle-Aeronautical-University" positions in Switzerland
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Curious? So are we. We look forward to receiving your online application with the following documents: Cover letter CV Academic transcripts Contact data for two references Please note that we exclusively accept applications submitted through our online application portal. Applications via email...
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environment. Project background We developed the Design++ postdoctoral fellowship program to provide an opportunity for talented researchers who are interested in bringing promising technologies and solutions
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and computational resources, and close collaboration with leading academic and industrial partners. Empa supports professional development, networking opportunities, and a healthy work-life balance in a
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to automatically process user manuals or process videos and extract relevant information. Further research will focus on advanced computer vision algorithms for defect detection. The research projects are usually
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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to the high number of parameters involved and the required computational time. The new ETH Mobility Initiative project, Future Uncertainty in Transportation and URban systems for Enhanced Strategic planning
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In