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2). Vascular network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering The Disease Biophysics Group is a creative, transdisciplinary group of engineers
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of the period for which it was granted or renewed. The final report must be submitted to the scientific advisor, in accordance with the defined objectives and evaluation criteria, no later than 60 working days
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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projects for SIT, Polytechnics, and ITE applied research and innovation centres. Leverage industry networks to facilitate knowledge transfer, capability development, and technology adoption across healthcare
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: 12/06/2026 Job Description We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of
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for biomedical). Characterization: SEM/EDS, XRD, DSC/TGA, tensile/impact testing. Software: Thermo-Calc, Materials Studio, Python/R for data analysis, CAD (SolidWorks). Processes: Experience with additive
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publication record in biosensors, nanomaterials, Raman spectroscopy, or microfluidics. Demonstrated experience in nanoparticle-based biosensor development or SERS sensing platforms. Proficiency in CAD software
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expanded to the genomic scale. The possibility of defining every single base in the genome of a cell enables manipulation of the most fundamental cellular properties, such as the genetic code. However
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feedback Experience working within agile or iterative product development environments is a plus Proficiency in design tools such as Figma, Adobe XD, or equivalent Proficiency in CAD software such as
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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