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for a limited period of 2 years, in order to carry out research on the project "“Algorithms of Efficient Biomedical Time Series Analysis”. Working conditions and other details can be found on the Web page
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Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 14 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information Research Fellowship Job
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topics within the cryosphere domain The first topic involves analyzing SAR interferometry to generate time series of digital elevation models, which will facilitate the quantification of changes in
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affinity with these fields. Prior experience with uncertainty quantification, computer vision and/or time series data analysis is a plus. I am proficient in Python and am familiar with data science and
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764 Postdoctoral Research Opportunity in Bioinformatics (m/f/d) RNA modification and 5′ Cap Analysis
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 2 days ago
Researcher (R2) Positions Master Positions Country Portugal Application Deadline 6 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU
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12 Dec 2025 Job Information Organisation/Company University of Beira Interior Department Sports Sciences Research Field Other Researcher Profile First Stage Researcher (R1) Positions Undergraduate
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- 23:59 (America/Sao_Paulo) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion