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candidate should possess a knowledge of both time-series and frequency-domain analysis, as well as proficiency in Python or Matlab. Responsibilities include detecting cells and cellular organelles in image
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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in bioinformatics (UNIX environments, R/Python, etc.) Desirable but not required/ Nice to have Experience in chromatin biology (ChIP-seq, ATAC, etc.) Experience in molecular phylogenetics and
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one or more of the following areas: Large Language Models, Generative Models (AIGC), Natural Language Processing, Computer Vision, or High-Performance Computing. Solid programming skills in Python and
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technical concepts clearly and collaborate effectively in a team environment. Demonstrated proficiency in scientific programming and deep learning frameworks, such as Python, PyTorch. Preferred Qualifications
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genetics, genome or epigenome data analysis, or related fields You have proven programming competence in Python, R, or C++, or related languages, and expertise in Linux and high-performance computing
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Python or Java script familiarity with the following tools will be highly appreciated: Monfgo DB , React an dreact workflow, Google API´s, Pytorch Professional Experience: Programing in PYTHON/C languages
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of experience in backend development and production maintenance Database expertise: Strong knowledge of PostgreSQLand PL/pgSQL(experience with MySQL will also be considered) Programming: Proficiency in Python
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able to program in python, R or a similar language Competences You have highly developed organization skills You have good communication skills The Offer – Working Conditions Contract duration: Technical