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Field
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skills Programming skills in Python or Pyraf and in the use of standard pipelines for advanced instrumentation such as JWST, HST or the VLTs. Form of accreditation for both sections: A report of the
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programming language: Python, R, Scala Hands-on experience using one of the following deep learning libraries: Tensorflow, PyTorch or similar is desirable Having first-authored publications in peer-reviewed
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, spatial transcriptomics). Use of Linux systems and HPC infrastructures. Programming in Bash, R, and Python. Knowledge of GIT. Where to apply Website https://www.incliva.es/rrhh/ofertas-de-empleo
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Python. 3.3. Additional education (maximum 3 points). Qualifications related to the tasks to be carried out and to the job profile (sections 2 and 3 of this annex), as well as to: Electronic structure
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of Python. Good knowledge of Linux. Experience in Machine Learning techniques. Knowledge of Deep Learning. Knowledge of Computer Vision Additional Knowledge and Professional Experience Published research in
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Essential Knowledge and Professional Experience Previous experience in biophysics, machine learning, statistics, or physics Strong programming skills (Python, R; C++ is a plus) High motivation and scientific
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(LLMs). 3.6. Programming in Python. 3.7. Knowledge of English. 3.8. Qualification: Undergraduate degree in Computer Engineering, in Artificial Intelligence Engineering or in Data Engineering and
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biology and laboratory techniques (e.g., qPCR, immunofluorescence, among others). Knowledge of image analysis using ImageJ or similar software. Proficiency in MATLAB and Python will be considered
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Knowledge of Matlab, Python and software for signal interpretation Experience in laboratory for biomedical signal acquisition Experience in joint projects with Hospitals or Health institutes Scientific
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FUNDACIÓN PARA LA INVESTIGACIÓN BIOMÉDICA DEL HOSPITAL UNIVERSITARIO PUERTA DE HIERRO | Spain | 2 months ago
knowledge of cybersecurity. Other merits to be assessed: • Knowledge of programming languages (Java, SQL, PrimeFaces, Python, PHP, HTML) and databases (SQL, MySQL, MariaDB). • Experience in using