7 condition-monitoring-machine-learning Postdoctoral positions at Umeå University in sweden
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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position is supported by a wider project, which is monitoring ecosystem functioning in tropical montane cloud forests (TMCF). The core study site is in a Peruvian TMCF, where several large-scale experiments
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organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise
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. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms
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special conditions earlier doctoral degrees can be considered. Special conditions include leave due to illness, parental leave, clinical service, positions within trade unions or other similar circumstances
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climate conditions, ecology and human mobility. There is a collaborative link between Umeå University and Lund University. Description of duties The postdoctoral researcher is expected to engage in advanced
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under defined pathological conditions is highly desirable. Proven expertise in preparing sequencing libraries for whole genome sequencing is considered a strong merit. Additional qualifications include