1,068 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"FEUP" PhD positions
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should hold a master’s degree in biology or biochemistry and have hands-on experience with tissue culture and standard molecular biology techniques. Basic proficiency in the R programming language and in
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these signals with their transcriptional programs. You will use a variety of techniques and tools, including microscopy and fluorescent imaging techniques, transcriptomics, metabolite profiling and high
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programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods would be advantageous. Eligibility and Application Due to funding restrictions
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. How to Apply: All applications should be made online . Under programme name, select Electronic, Systems and Electrical Engineering. Please quote the advertised reference number: FP-SA26-CP in your
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be made online . Under programme name, select * Mechanical and Manufacturing Engineering’* Please quote the advertised reference number: * FP-LJ-MTC/26* in your application. Applications must include a
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of the selection process and subject to final approval by the University. How to Apply: All applications should be made online . Under Campus, please select ‘Loughborough’ and select Programme
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. Starting October 2026, the programme offers 13 fully funded studentships, including 2 AHRC Doctoral Landscape Awards, plus four fees-only studentships. Full details on how to apply and fees are here - if you
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forests and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including