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- Institute of Nuclear Physics Polish Academy of Sciences
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Starting Date 15 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number #JOB5/2026 Is the Job related to staff position within a Research
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6 Mar 2026 Job Information Organisation/Company Jan Kochanowski University Research Field Economics » Financial science Researcher Profile Established Researcher (R3) Positions PhD Positions
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Date 1 Jun 2026 Is the job funded 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
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particle physics phenomenology -programming in C++ and/or Python -fluent knowledge of English language Welcome: experience in Monte Carlo methods and statistical modeling experience in QCD phenomenology
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Background in statistics and deep learning; Excellent programming skills in python; Familiarity with Unix command-line tools; Excellent communication and organizational skills; Ability to work independently
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, including knowledge of statistical modelling and R - the ability to acquire external research funding Specific Requirements - programming skills: - R - experience in analysis of ecological data, preferably
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 2 months ago
documents must be submitted via the online platform https://jobs.uw.edu.pl/en /: Candidate’s questionnaire (to be filled in online), PhD diploma (copy), Up to 3 selected publications, Curriculum Vitae with a
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Job Status Full-time Hours Per Week 40 Offer Starting Date 2 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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, ADDITIONAL REQUIREMENTS (recommended): ability to operate the software for statistics and methodologies in the R or Stata environment, or other statistical programme, presentation of two letters
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to independently plan and conduct experiments (turbulent flows). Knowledge of optical (PIV, LDA) and thermo-anemometric measurement techniques. Signal processing skills – spectral analysis, statistics, POD