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Field
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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experience in molecular biology and plants as an experimental system, and knowledge of statistics in, for example, the programming language R are necessary. It is important that the applicant has the ability
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researcher in managerial activities Where to apply Website https://jobs.vhir.org/jobs/6649019-predoctoral-researcher-group-of-biomedical-r… Requirements Research FieldBiological sciences » BiologyEducation
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(e.g. Industrial Ecology, Ecological Economics, Geography) Good or excellent programming skills for data analysis (experience in Python or R is preferred) Experience with input-output analysis is
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for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide
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, forestry, bioinformatics, or a related field - Strong demonstrated interest in biodiversity, molecular methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work
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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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processes are based on the principles of Open, Transparent and Merit-based Recruitment (OTM-R). Where to apply Website https://selection.uoc.edu/web/profile/login.aspx Requirements Research FieldComputer
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driver’s license for fieldwork. Beneficial qualifications are Experience in tree physiological measurements. Experience in fieldwork. Experience in programming / modeling in R and/or other software
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methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills