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- 
                Field
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                candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven 
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                analysis in Python is advantageous Previous experience with imaging (especially computed tomography) and/or image analysis is advantageous Excellent communication skills in English (oral and written) are a 
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                Engineering with excellent grades. Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture. Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL 
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                Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have knowledge and experiences in using HecRas, SWAT and ArcGis Pro Experience in designing and 
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                imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data 
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                Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days agoin association or cooperation with one or more R&D units, or be enrolled at the date of signing the scholarship contract in a doctoral program; c) proficiency in Python and/or C++. Additional 
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                . Additional qualifications: It is advantageous to have experience in one or more of the following areas: Machine Learning & Bayesian optimization (Python, Supervised learning, Multi-objective optimization 
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                . Good programming skills (e.g., C/C++, Java, or Python) and experience in (or an interest in working in) the area of cybersecurity while conducting practical research. Software reverse engineering (Frida 
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                University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 7 hours agomodeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian 
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                English is not your mother tongue; Official, stamped MSc degree certificate; Good command of programming languages like Python will be considered as a plus; Experience with sorption behavior of surfactants