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https://jobs.uw.edu.pl/en /: Candidate’s questionnaire, PhD diploma (copy), Up to 3 selected publications, Curriculum Vitae with a complete list of publications, Description of planned research projects
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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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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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implement a software engine that automates fault model generation, evaluation, and management. Design and implement advanced test generation methodologies (e.g., test algorithms, Design-for-Test (DfT), Memory
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. ? Prepare written reports (e.g., manuscripts, grants, patents) and presentations for meetings. ? Opportunity to teach and mentor junior team members. Requirements ? A PhD in Bioinformatics, Computer
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theoretical foundations of modern learning algorithms. The position will be supervised by Florence d’Alché-Buc, Charlotte Laclau, and with Rémi Flamary and Karim Lounici from École Polytechnique
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Biomass burning is an important source of aerosols and trace gases to the atmosphere and is a major
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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for this position is $107,100-$232,100, based on the current salary scale: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t3.pdf "Off-scale salaries” and other
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processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with