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Field
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Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES
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Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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assays Drug Discovery Dose-response assays, IC50 Data Analysis Proficiency in statistics and statistical software (GraphPad, R, Python) Candidate Profile Candidates having several of the following
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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, electrical stimulation or ultrasound brain stimulation. n. The ideal candidate will have experience with advanced analytics and signal processing, using MATLAB/Python, as well as experience presenting and
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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simulation tools, such as MATLAB and Python. Ability to work both independently and collaborate in teams. Consideration will also be given to how the applicant’s experience and skills complement and strengthen
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experimentation in cardiac physiology, tissue/organ imaging or electrophysiology (at least one of these areas) You know how to analyze scientific data; good reproducibility practices You are proficient in Python
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data analysis. Technical Skills: Advanced proficiency in programming languages essential for data analysis (such as R and/or Python). LevelExcellent Internal Application form(s) needed Perfil_0.pdf
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development tools and environments: Matlab and/or Python. • In-depth scientific knowledge of optimisation and/or reinforcement learning techniques. Desirable skills, knowledge and experience In-depth