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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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the following areas: Matlab and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Optional experience
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(time-reversal, inversion, etc.). The candidate must be well-versed with software packages such as Mathematica, Matlab and LTSpice. Open to Fixed Term Contract. More Information Location: Kent Ridge
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., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal
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. Proficiency in at least one modeling and programming environment, such as: MATLAB, R, or Julia KEY RESPONSIBILITIES & ACCOUNTABILITIES: Conduct pharmacometrics and quantitative systems pharmacology analyses
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: MATLAB, R, or Julia KEY RESPONSIBILITIES & ACCOUNTABILITIES: Conduct pharmacometrics and quantitative systems pharmacology analyses. Prepare reports and supporting manuscript submissions. Mentor and train
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
and application, CRISPR/Cas mutagenesis, and single-cell RNA sequencing is highly preferred. Proficiency with relevant data analysis and visualization tools (e.g., R, MATLAB, or Python) is required
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. Additional Qualifications: • Theory: Expertise in quantum optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis
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characterization (SEM, TEM, XPS, FTIR, etc.) Programming skills (Python, MATLAB, or similar) Exposure to machine learning methods (e.g., Bayesian optimization, active learning) is an advantage Understanding
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Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB