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Field
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RAS signaling and/or targeting is preferred Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential Prior experience
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higher education course must be made until the contract is signed. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/XXXX E-mail submissions
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as database
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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development, including Python, model integration, and system architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in
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holding a Bachelor’s degree in Oceanography, Geophysical Sciences, or related fields, who meet the following requirements may apply: a) Knowledge of python – information provided in the CV and/or motivation
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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the Pereira laboratory: https://www.lsi.umich.edu/science/our-labs/filipa-pereira-lab Responsibilities* Experimental responsibilities will include: Perform genome engineering of Streptomyces strains