247 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Fellowship positions in United Kingdom
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and impact in healthcare, making this an ideal training opportunity for future industrial or academic careers. Candidates must have a PhD (or be about to obtain) in and Engineering or Physical Science
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engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational Biology, Biomedical Engineering, or a
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hold a PhD in Materials Science, Nanotechnology, Biomedical Engineering, Chemistry, Bioengineering, or a closely related discipline (or have equivalent professional experience), with a strong background
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mechanical/electrical engineering and should hold a postgraduate degree in business administration or economics. You need to have good programming skills. The candidates should be motivated and enthusiastic
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academia or industry, with experience of both is an advantage. The position is funded by the EPSRC (Engineering and Physical Sciences Research Council) project: SUSTAIN - Sustainable heterogenoUs e-textileS
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hold a PhD in Materials Science, Nanotechnology, Biomedical Engineering, Chemistry, Bioengineering, or a closely related discipline (or have equivalent professional experience), with a strong background
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application of projects such as OSPREY, AIOLIA, and DETECTOR, amongst others. Although this is not a technical role, a good understanding of technology and emerging trends in technologies would be advantageous
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role, a good understanding of technology and emerging trends in technologies would be advantageous The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps
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physics, Aerodynamics, Mechanical, or Aerospace Engineering. Essential criteria include experience in numerical modelling of plasma flows and discharge, with desirable expertise in plasma diagnostics and RF
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, computational biology, structural biology, biophysics, pharmacology or related discipline. Significant experience in virtual screening and molecular docking. Experience with machine learning/AI approaches in drug