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discovery. Familiarity with generative chemistry platforms. Experience with pharmacophore modelling. Experience with molecular dynamics simulations. Strong scripting skills (Python, Bash). Experience with HPC
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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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software and research at www.cernaklab.com Required Qualifications* Candidate must have strong programming skills in Python, React, JavaScript and related languages. Expertise in one or more of the following
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in Public Health, Epidemiology, Biostatistics, or related medical/pharmaceutical fields. Proficiency in statistical software such as R, SAS, STATA, or Python. Experience analyzing large-scale databases
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the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages
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., MatLab, Python, Modelica, C, ForTran, etc. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
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related discipline, with experience in protein sequence and structure analysis. You will also be fluent in the use of Python, and experienced in processing large scale sequencing datasets, constructing and