Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
Learning, or a related field Strong background in cybersecurity and/or applied machine learning Interest in applied cybersecurity research with real-world impact Proficiency in Python and relevant ML
-
definición de requisitos funcionales, diseño de experiencias UX/UI centrada en las personas y prototipado avanzado de soluciones digitales en entornos de innovación abierta orientados a la validación con
-
awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
-
in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
completed, please submit a short statement by the supervisor concerning progress) excellent coding skills (Python, Julia, C++, etc.) excellent communication skills excellent English skills We Offer
-
documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis of high-throughput omics data is required Knowledge of cancer biology is a strong
-
background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis
-
@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Pythorch, Ontologias, Federated Learning
-
programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis