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hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity
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hydrology, ecology, freshwater science, microclimate, and social sciences. Support from the SLU library is secured. The postdoctoral fellow will also be part of a larger scientific network of the Krycklan
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for library preparation and sequencing. The project builds on a recently developed microfluidic platform available through collaboration with the research group of Johan Henriksson (Department of Molecular
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but reuse a significant amount of code that has been built by 3rd parties. These code artifacts, in the form of externally developed libraries, packages, and frameworks form the core of their so-called
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in future immunotherapy and diagnostic applications. The raised antibodies will also be useful tools for cancer glycobiology studies. The prepared synthetic glycopeptide library will also be
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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. Familiarity with different cryptography and FHE libraries. Publications in reputed journals etc. Assessment criteria This is a career development position primarily focused on research. The position is intended