92 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" positions at Lunds universitet in Sweden
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levels. Where to apply Website https://lu.varbi.com/en/what:job/jobID:888320/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelMaster Degree or equivalent Research
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wish to submit (copies of diplomas, transcripts, references, letters of recommendation, etc.). Where to apply Website https://lu.varbi.com/en/what:job/jobID:888649/type:job/where:39/apply:1 Requirements
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ultrabroadband and a high spectral resolution hyperspectral lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field
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, tightly collaborating research groups conducting research and education in Robotics and AI, Intelligent Autonomous Systems, Robot Learning, Machine Learning, Human-Robot Interaction and Natural
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, available at https://www.lusem.lu.se/research/doctoral-studies. Other requirements A proficient level of English is required in both written and oral communication. Demonstrated qualitative and quantitative
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with expertise in computer graphics and theoretical computer science, respectively. The CS department has a very social group of students that can help you settle in. There are also opportunities
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the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace Within the Centre for Analysis and Synthesis (https://www.cas.lu.se
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. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
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software related to the medical field Experience of specific software and programming languages, specifically ones suitable for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and
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the research and teaching environment at the department, as well as in the everyday activities of the project, including reporting to FORMAS. More information about the project: https://portal.research.lu.se/en