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Field
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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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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 1 month ago
Unix/Linux operating systems Strong programming skills in Python and/or R, as well as Bash Additional information: We offer: 📈The possibility of developing your professional career in a competitive
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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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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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compliance with project schedules. Experience in Python programming. LanguagesENGLISHLevelGood Research FieldComputer science » Other Internal Application form(s) needed Call_U309_20082025_english.pdf English
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
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Method (FEM) (8 points). Educational background and proven experience in modelling mathematical programming problems using programming languages such as Python, C, Fortran, etc. (8 points). Proven
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showing the marks of all subjects studied. Specific Requirements Familiarity with statistical programming languages (e.g., R / RStudio and/or Python) and statistical methods will be valued. Familiarity in