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Law School offers bachelor's programs in Dutch Law, Tax Law, Business Law, and the English-taught Global Law program. Of the nine legal master's programs, five are offered in hybrid formats and six are
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related discipline. Preferred Qualifications: Research experience in environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal
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environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively
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Researcher (R3) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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United Arab Emirates Application Deadline 10 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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of Python programming and machine learning tools, deep learning, and large language models is desirable. The fellow will be based at the Engineering College of the São Paulo State University (UNESP), in its
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data
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/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101039272 Is the Job related
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply until 16/09/2025 (DD/MM/YYYY
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Diagnostics (DCD) at JU offers three different undergraduate programs: the X-ray Nurse Program, and the Biomedical Analyst with two specializations (Laboratory Medicine and Clinical Physiology). It is a dynamic