194 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Czech
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and migrations of ancient humans in Eurasia; Other ongoing projects in the Laboratory of archaeogenetics, such as testing and improvement of analytical methods such as PCA and manifold learning
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antibodies and anti-CD20 CAR T-cells form the backbone of treatment for mature B cell malignancies. The project focuses on elucidating changes in gene expression within the tumor microenvironment of chronic
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. Information on the processing of personal data of job applicants is available here: https://www.zcu.cz/en/University/GDPR/Information-for-the-individual-data-subject/job_applicants.html Work Location(s) Number
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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programs at the Faculty of Horticulture, aiming to acquire the theoretical and practical knowledge necessary for mastering professional studies. The teaching is primarily focused on issues related
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and many other benefits: https://www.tul.cz/univerzita/uredni-deska/kariera/benefity How to log in please send the documents requested below to the following e-mail address: volnamista@tul.cz by
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) The language in which the selection procedure will be conducted Czech (min. C1,C2) Where to apply Website https://forms.office.com/Pages/ResponsePage.aspx?id=BeoAsH4kSE6MkRzwDHSU7xXWsDS… Requirements Research
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to the Internal Wage Regulations of UO Where to apply Website https://forms.office.com/Pages/ResponsePage.aspx?id=BeoAsH4kSE6MkRzwDHSU7xXWsDS… Requirements Research FieldArtsEducation LevelPhD or equivalent Skills
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educator in statistics and/or modern data analysis (including ML/DL). Research scope – expertise in any of the following areas • statistics, data analysis, and information theory, • machine learning, deep
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks