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-learning-and-statistics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-p… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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written ● Fluent English Desirable: ● Experience with single-cell or spatial genomics data ● Contributions to open-source scientific software ● A fully funded four-year PhD position (100 %) in a new
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UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We
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findings in a PhD thesis and peer-reviewed articles and give presentations at consortium meetings and (international) conferences. Where to apply Website https://www.academictransfer.com/en/jobs/364083/phd
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with
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Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Oct 2026 - 23:59 (Europe/Brussels) Country Spain Type of Contract Temporary Job Status Full
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English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite applications for a three-year PhD Research Fellowship in
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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
, we combine imaging mass spectrometry with digital pathology and computational data analysis. The PhD project "Computational Imaging Mass Spectrometry: Spatial Metabolomics, Spatial Exposomics, and
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document