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Application Deadline 31 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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evaluate the importance of structuring the foods of the future. A high level of verbal and written communication in English; Practical abilities to carry out experimental research, and excited to develop
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
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Chemistry and Engineering attracting highly talented researchers under transparent governance. ACER CoE encourages excellence in research and inter-program synergy and is instrumental in updating the research
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 months ago
-nucleic acid interactions (the candidate with prior experience in structure biology and protein expression and modification is preferred. Experience in programming is a plus. Your qualification It is
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English Ability to work independently and collaboratively in a research team Preferred Qualifications III-V laser epitaxy design and simulation experience Experience with III-V semiconductor processing and
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
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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 Today, companies across a wide
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit