723 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U" Fellowship positions
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Postdoctoral Fellow – Mitochondrial Microproteins & Therapeutic Innovation Lena Ho Lab | Duke-NUS Medical School, Singapore Cardiovascular & Metabolic Disorders Programme Advance scientific
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, plus an additional supplement for health insurance. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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Optics and Photonics Theory Group at Saint Louis University invites applications for a Postdoctoral Fellow position in the Department of Electrical and Computer Engineering. The successful candidate will
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science, drug discovery, or related fields are encouraged to apply. Strong computational backgrounds, proficiency in at least one programming language (e.g., R, Python, Perl, C++, Java) and knowledge
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, Management, Finance, or a related field, and be enrolled in a Master’s program. The candidates should also have good data skills (Stata proficiency is required) and be fluent in Portuguese. Preference is given
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have strong English skills and demonstrate an ability to write and communicate with a scientific audience. Candidates must be able to independently plan, multi-task and complete projects. Ideally
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Research Fellow (Internal candidates only) Apply online Job number SHMS00493 School / Service School of Health & Medical Sciences Department Language and Communication Science Location Myddelton
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Sweden Application Deadline 4 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor