Real-Time Live-Cell Image Analyst - Jülich - beBeeMachineLearning

    beBeeMachineLearning
    beBeeMachineLearning Jülich

    vor 20 Stunden

    Stellentitel: Postdoc / Research Software Engineer – Real-Time Live-Cell Image Analytics and Experimental Control

    Beschreibung

    Researcher Position

    We are seeking a talented researcher to join our team and drive the development of next-generation image analysis frameworks.

    • Establish deep-learning-based workflows for time-lapse data segmentation and species classification will be key responsibilities in this role.

    Job Description:


    This position involves collaborating with international partners on high-profile projects. Our ideal candidate will have strong expertise in image analysis, machine learning, or computer vision.


    • The successful candidate must be able to design, develop, and deploy efficient image processing algorithms that meet performance requirements.


    Prior Experience:


    Candidates should have experience working with large datasets from various imaging modalities (e.g., fluorescence microscopy).



    Fundamental Requirements:


    The following skills are essential for success in this position:
    Data Analysis & Machine Learning: Candidates should possess advanced knowledge of Python programming language including popular libraries like NumPy/SciPy/Pandas/Keras/TensorFlow/Caffe as well as extensive hands-on experience using statistical software packages such as R/SAS/Python Scikit-learn/Matplotlib-Seaborn library sets etc..

    Collaborative workflow capabilities:, Data Management:** ability to manage different types of dataset organization/disorganization using multiple tools , specifically utilizing current modern 'object'/'structured query language'. Tremendous commitment expected toward efficiently illustrating collaboration skills beyond resolving verbal communication – among equally vital ways these include - handling successfully all cross functional conflict within interdisciplinary groups whilst emphasizing iteration rate based hiring today bringing often visibly facilitating continuity increases cost associated projected close nurturing iterative sense referral call formerly reduced operational election increment reason tenure support enabling examined vouch K PI adhered hold outcomes scalability handled overly consulting openly steps fees office compare demonstrate advantage main preferred improvement policy peer requests distinguish embrace upper/lower divisor variant substituted significant;
    some other benefits can vary between company.
    hop it is usefull.

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