88 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Lunds universitet
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Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file containing: CV, including a list of publications, Where to apply Website https://lu.varbi.com/en/what:job
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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 world. Where to apply Website https://lu.varbi.com/en/what:job/jobID:890483/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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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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certificate, and other certificates/grades that you wish to be considered. Where to apply Website https://lu.varbi.com/en/what:job/jobID:886099/type:job/where:39/apply:1 Requirements Research
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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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, 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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computer skills As a person, you are structured, meticulous, and have a good attitude toward both colleagues and patients. You organize your work efficiently and communicate in a responsive and constructive
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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
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charge detection. More information can be found at: www.ftf.lth.se , www.nano.lu.se https://portal.research.lu.se/en/persons/ville-maisi Subject description QPHOTON’s aim is to design, fabricate and