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environment Proven ability to use a scientific programming language such as python or MATLAB for signal processing A desire to improve therapies available to patients with neurological conditions Excellent
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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of different materials families composed of Ti and C. Titanium carbides, for example, exhibit exceptional hardness, high melting point, wear and abrasion resistance, and many other beneficial properties
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project is situated in the Strategy Economics research group. Building on the group’s expertise, the vision for this project is to apply economic theories like real options theory or signalling theory
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NOTICE OF OPENING OF AN INTERNATIONAL SELECTION PROCEDURE FOR THE HIRING OF A DOCTORAL RESEARCHER FOR THE VAX-ACTION: TACKLING EFFECTIVELY VACCINE HESITANCY IN EUROPE PROJECT (REFERENCE 101133273
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. Practical computer operating knowledge (Word, Excel, Power Point, Origin) is mandatory. The candidate must be motivated and creative, with advanced communication and teamwork skills
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Transition (COMPETE 2030), Portugal 2030 and the European Union | Operation no. 15560, operation code at the Funds Counter COMPETE2030 FEDER-00661600. I. Reference, Place of Work and Monthly Wage I.1 Public
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 1 day ago
details How animals choose between individual and collective behavioral strategies, how they execute these behaviors from a mechanistic point of view, and how they navigate cooperative versus competitive
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recent work shows that PKCα signalling sustains the undifferentiated state of DMG and suppresses MHC-II expression, an effect reminiscent of demyelinating diseases such as multiple sclerosis, where HLA
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learning, etc.); · Knowledge of explainable AI and Knowledge Graphs with ontology (e.g., RDFS, OWL); · Demonstrated experience with common advanced signal processing techniques (e.g. denoising