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, Norrbotten 971 87, Sweden Subject Areas: Geometric Analysis; Mathematical General Relativity; Differential Geometry Appl Deadline: 2026/01/31 11:59PM (posted 2026/01/12, listed until 2026/01/31) Position
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Machine learning for gravitational waves, LISA data analysis Where
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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mutation data analysis The successful candidate will play a key role in methodological development, single cell data analysis and somatic mutation identification, working closely with clinicians and
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innovative methods for the large-scale spatial and temporal analysis of interferometric SAR data, with particular focus on monitoring surface deformation and active geomorphological processes. The objective is
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Geography Proof of proficiency in using spatial data analysis software (GIS) and statistical data analysis software (SPSS Statistics or R) Proof of English and Croatian language proficiency (certificate
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, regularity structures Where to apply Website https://pica.cineca.it/sissa/cdr-fe-mate-23-2025 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER
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at the highest level of research aiming at producing scientific publications of national and international levels. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Work Location(s
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of proteins involved in lipid metabolism in trypanosomatids: correlation with proteoglycan anchoring in membranes. In silico analysis of membrane rafts. Where to apply Website https://forms.office.com/Pages
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 2 days ago
land-cover maps and uncertainty metrics. Both modules are integrated into an analysis-ready data cube using open standards. Methods include feature- and intensity-based alignment, fuzzy c-means, rule