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activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below
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on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype
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or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience of experimental synthesis or process work under explicit safety requirements
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Science includes research on work environment, technology and production systems, work organization, and/or other social processes from humans’ conditions and needs in order to create safe and attractive
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on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype
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. In this recruitment we have replaced the cover letter with questions that you are asked to answer when making your application. The answers will be used as a part of the selection process. Please
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language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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expression and purification and/or optogenetics, particularly as applied to the control of cell wall synthesis or remodelling enzymes. Experience with confocal microscopy and quantitative image analysis in
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postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. Other information For information about processing of personal data