274 machine-learning-"https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in Sweden
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Department of Clinical Microbiology The Dwibedi research group at the Department of Clinical Microbiology and the Laboratory for Molecular Infection Medicine Sweden (MIMS; https://www.mims.umu.se
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science. You will be part of a dynamic research group with expertise in Earth Observation, geoinformatics, and machine learning, offering an excellent environment for advancing your research and building
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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administrative language, applicants who do not speak Swedish are expected to acquire sufficient knowledge of the language within a reasonable timeframe. Assesment criteria For this position, particular emphasis
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relationships and assess tree species sensitivity to climate stressors using both global databases and experimental data from Rwanda TREE project (https://www.rwandatree.com ). The researcher will have close
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, and doctoral students active on both campuses. Learn more about the Department of Archaeology, Ancient History, and Conservation here: Department of Archaeology, Ancient History and Conservation
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new image analysis and machine learning methods
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considered the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following
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(https://www.globischlab.org/research-projects/). The analysis will be included into our EU-network PANCAID (https://pancaid-project.eu) that will lead to interdisciplinary scientific interactions within
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service or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Doctoral degree should be within molecular life sciences such as e.g