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Field
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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memory consolidation through neural reactivation (“replay”), yet how different experiences—particularly socially reinforced ones—are selected for consolidation remains unclear. Social memories are often
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imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. The role of the Postdoctoral fellow She/he will analyze genetic data from different groups of individuals with
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the electromagnetic spectrum and studying problems at different scales, from molecular processes in clouds to global environmental change. Our research environment is unique in Sweden, combining expertise in
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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You will focus on: Studying the slug stability of organic solvent slugs (e.g. acetone, acetonitrile, chloroform) in different push solvents for detection of apolar metabolites with segmented flow NMR
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence. The research tasks require a solid mathematical background
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g