910 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Sweden
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their doctoral degree before that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service or similar circumstances
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. The instructions for applicants are available at: How to apply for a position. Website for additional job details https://su.varbi.com/what:job/jobID:886025/where:4/ Work Location(s) Number of offers
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postgraduate levels. Where to apply Website https://lu.varbi.com/en/what:job/jobID:897562/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelBachelor Degree or equivalent
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of two former supervisors A complete publication list (can be included in your CV) A copy of your diploma (PhD or equivalent) We warmly welcome your application! Where to apply Website https://lu.varbi.com
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lifetime. Most studies on this topic explore optimization and deep learning methods for finding the global optimal solutions offline and verify the results by model-in-the-loop simulations, but this project
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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and reflective empirical analysis with strengths in intersectional perspectives on gender and sexuality and feminist methodologies. Read more about about our research themes here: https
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
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health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:897835/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research
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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