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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available
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simulation (e.g., Python, MATLAB). Prior experience with industrial research collaborations and the patent filing process is a plus. Qualification requirements Appointment as postdoc requires academic
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
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instrumentation (e.g., pumps, flow-controls); Basic laboratory automation and programming (e.g.; Matlab, Python, Arduino); Writing reports; Mentoring of younger students. Personal Skills “Hands-on” approach
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modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
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programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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must have skills in sequence data analysis using bioinformatics (e.g., using Python, R or any suited programing language). These skills must be attested by the contribution to at least one publication in
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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languages (e.g. FORTRAN, Python) is required. A strong background and experience in operating, analysing and visualising large datasets is desired. Track record of peer reviewed publications in high level