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, immunofluorescence, confocal microscopy, and molecular biology techniques. Analytical skills: Competence in data analysis using ImageJ, GraphPad Prism, or similar software. Teamwork and communication: Strong
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projects under senior supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5
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supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5) Involvement in proposal writing
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(Tree-MENDOUS) Principal Investigators: Mariano Perales (mariano.perales@upm.es ) & Daniel Conde (daniel.conde@upm.es ) Summary of the project: Spatiotemporal analysis of gene networks to unravel
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related to staff position within a Research Infrastructure? No Offer Description The Public University of Navarre (UPNA) offers 1 fully funded PhD position in the MSCA Doctoral Network FINALITY (saFe
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scientific education. a strong international nanoscience network. Eligibility criteria Holding a MSc degree and not having already a previous PhD degree Selection process How to apply The selection process
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., Autodesk Fusion 360), and familiarity with Freeform software from Formlabs will be considered a plus. Experience related with the field of nanomotors will be highly valued. For the conditions, requirements
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
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for candidates aiming to consolidate their postdoctoral experience and grow towards scientific leadership roles. Key responsibilities: Lead the conceptualization and development of an energy management software
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) and statistical methods will be valued. Familiarity in Bioinformatic tools / software will be valued. Capacity to work under (sometimes) hard field conditions (heat and humidity). Teamwork capacity