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for filling vacant teaching and research positions in UBB LanguagesROMANIANLevelMother Tongue LanguagesENGLISHLevelGood Research FieldPsychological sciencesYears of Research Experience1 - 4 Additional
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, nurture and develop the very best talent. Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here: https://group.springernature.com
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(magisterexamen) of 60 credits* in natural sciences or engineering. You will need strong written and verbal communication skills in English Personal competences in accordance with the requirements profile including
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learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and programming (e.g., Python or R). A track record of publications in high -quality scientific
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 1 month ago
research programs and activities at the institute beyond their thesis projects. The working language is English. PhD Program: Education component A structured doctoral education complements the research
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qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra-specific and inter-specific
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the following headings: education, work experience, research interests, awards, publications, presentations and conferences, software and computer skills, languages, and contact details for at least two
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SLU is seeking an independent and highly motivated Staff Scientist for a position focus on the processing methods and physico-chemical characterization of plant-based foods. The successful candidate
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, Statistics, Artificial Intelligence, Parallel and Distributed Systems, Cryptography, Computer and Network Security, Computer Vision, Image Processing, Natural Language Processing. Job Requirement Candidates
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. Areas of interest include—but are not limited to machine learning and deep learning architectures; trustworthy or explainable AI; generative AI and natural-language systems; computer vision and multimodal