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tools such as R packages, Phyton, and other programming languages Publications in the field Excellent communication and interpersonal skills. High motivation and interest in scientific work Applications
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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: Measuring the dynamic impact of personal social networks on language learning outcomes (NSF-2341628) led by Dr. Eleonora Rossi in the Department of Linguistics, together with an interdisciplinary team of co
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, conferences, and training programs. The successful candidate will have the chance to network with leading experts in the field, industry professionals, and policymakers, enhancing their career prospects and
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of CNS and peripheral immune compartments • Excellent verbal and written communication skills in English • Familiarity with rodent surgical techniques and behavioral assays relevant to CNS disease models
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, the University of Greifswald, the Leibniz Institute of Atmospheric Physics (IAP), and the German Aerospace Center (DLR) Who are we? The IOW is an independent research institute of the Leibniz Association for which
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statistical analysis Competency in experimental design A strong desire to learn new techniques Should Have Either electrophysiology or imaging experience Skills Highly motivated Fluent in English Organizational
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, or related fields. Candidates are expected to have a demonstrable interest in bio-inspired neural networks and probabilistic approaches, and to have an excellent command of English. Needed
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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(Programming Language), R Programming Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: PhD in Genomics or a related discipline. Familiarity