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motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic
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or Physical adsorption of gas (BET) - Ability to identify and solve technical problems. - Proficiency for quickly learning new skills or field of study. - Good verbal skills in English. - Proactive and
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, attracting attention from the international research community. As a distinct branch of quantum machine learning and/or optimization models, quantum inspired approaches are dedicated to the creation
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machine learning potentials and molecular dynamics simulations. Contribute to the implementation of developed tools on the in-house LSQUANT code (www.lsquant.org) and computing architecture of TCN/ICN2
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 10 days ago
-to-learn attitude. Have excellent written and oral communication skills. Be willing to adapt to a flexible work schedule when needed. Be willing to meet deadlines and follow up on assignments. Required
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, programing machine learning tehcniques Professional Experience: Programing in PYTHON/C languages Personal Competences: Demonstrated competitive ability in using DFT simulations, and machine learning techniques
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or Physical adsorption of gas (BET) Ability to identify and solve technical problems. Proficiency for quickly learning new skills or field of study. Good verbal skills in English. Proactive and committed
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) the overall grade of the degree, 2) the grades of the subjects in the field of differential equations, numerical methods, hpc computer programming and mechanics of structures. The candidate's experience and
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a doctoral degree at the call deadline and a maximum of 8 years full-time experience as postdoctoral researcher. We are looking for candidates with a PhD in Computer Science, Computer Engineering
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for decarbonization and the financial analysis required to procure funding and financing for those plans. - Support NetZeroCities partners to integrate lessons learned from the development of the economic modelling