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include responding to inquiries, managing appointments and reimbursements for Postdocs and Visitors, and serving as a liaison with various stakeholders. This role will also handle appointment processing
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uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Physics-guided learning for machine control Description: Robust machine control assumes modeling of robot-environment
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science Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 May 2026 - 17:00 (Europe/Athens) Country Cyprus Type of
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technicians in the lab, providing training and guidance as needed. We are looking for someone that has the aptitude to learn new techniques, works well with others, and possesses strong critical thinking skills
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, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities
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Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification None Physical
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Job Description The Administrative Specialist is responsible for developing a deep understanding of the academic and research programs of the AI & Machine Learning for Engineering Graduate Programs
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 24 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job
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) Positions Postdoc Positions Application Deadline 6 May 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through
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molecular biology and cell biology techniques. Basic procedures include but are not limited to: pipetting; cell and tissue culture, handling of small laboratory animals, etc. There will be continuous learning