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(ELISA, Western Blot, flow cytometry and similar); experience using proteomics data analysis software and biological databases (e.g., STRING, KEGG, Human Protein Atlas) for identifying signaling pathways
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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processing and analysis tools, programming (Python, Origin, Octave) and the mathematical and computer tools necessary to exploit the results • Written and oral English (level C1/C2) in a multicultural work
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technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations and safety protocols, including working on research vessels
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to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136123 Requirements Specific Requirements PhD Pharmacology, oncology, imaging techniques, or related fields since less than 3 years
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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. For more information about the required documents and recruitment process, please contact konkurss@taltech.ee . Where to apply Website https://taltech.teamdash.com/p/job/Z0Y8ZiUT/kaugjahutuse-nooremprofessor
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: a) Proficiency in Portuguese; b) Experience in document analysis; c) Scientific or professional experience in the field of civic engagement. Additional Information Benefits Applicable legislation and
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral