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transcriptional (i.e., single-cell and T cell receptor RNA sequencing), molecular (siRNA, CRISPR-Cas9), immunohistochemical, organoid, flow cytometric, and in vivo (i.e., mouse models) methods to develop new
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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of the affected project. Application Formalization: candidates must submit their applications through a cover letter stating their reasons to apply, accompanied by a detailed Curriculum Vitae, a copy of the
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of the project. Application Formalization: candidates must submit their applications through a cover letter stating their reasons to aply, accompanied by a detailed Curriculum Vitae, a copy of the qualifications
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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 25 days ago
and applicable regulations: The fellowship is legally governed by the Research Fellow Statute (Law no. 40/2004, of August 18), available at https://diariodarepublica.pt/dr/legislacao-consolidada/lei
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on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio-environmental and geographical situatedness of work environments in
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Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio-environmental and geographical situatedness of work environments in
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), on the safe usage of all tools available in the M.E. Manufacturing Spaces. Serve as a subject matter consultant for formal M.E. lab classes that meet in the manufacturing spaces. Train and assist Teaching
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simulation methods, such as molecular dynamics, molecular docking, virtual screenig, and free energy calculations; c) Experience with molecular-based artificial intelligence methods; d) Programming skills. 4