14 data entry Remote English-speaking jobs in Leipzig

budgetary understanding People management & stakeholder management skills are essential Experience with data ... Manage Service delivery processes and Service Level reporting mechanisms Work on necessary reporting and data

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business ... President of  al Protection Equipment Research Institute; Core product        Pure electric low entry

International team of highly-motivated doers Very flexible work time; home office or 100% remote possible ... wants to make sure that the visuals created by your software always look right—no matter the input data ... Your Responsibilities Implementation of data visualization plugins using TypeScript Tight collaboration ... As a dataviz frontend engineer, you implement visualization plugins in TypeScript using our internal data-visualization

with modern technologies.A collaborative team culture focused on innovation and learning.Flexibility (remote ... frameworks (e.g., Node.js / Express, Django, Spring Boot) to handle business logic and integrations.Manage data ... relational (PostgreSQL, MySQL) and / or NoSQL (MongoDB, Redis) databases.Write efficient queries and support data

budgetary understanding People management & stakeholder management skills are essential Experience with data ... Manage Service delivery processes and Service Level reporting mechanisms Work on necessary reporting and data

Experience data processing and analysis, including geodata. ... Preferred: Experience in handling large geodata sets and data management. ... Strong interest in water quality, spatial data analysis, and environmental sustainability. ... Develop and apply data-driven (geospatial, statistical, and machine-learning) approaches to identify ... low-cost sampling techniques, mining of existing open (geo)datasets, exploring the use of unstructured data

The task of the programmer will be to transform raw, long-term plant demographic data into population ... Your tasks Curate raw long-term plant demographic data, including cleaning, formatting, and error checking ... Projection Models) Check the functioning of the population models, and validate their results against raw data ... research networks to work together on global challenges Excellent research infrastructure and research data ... directly contact the authors of scientific publications or datasets to ask for clarification or additional data

Knowledge of statistical methods and data handling, preferably using R. ... Our vision for this PhD project is to create extensive data on chemical pollution and related risks in ... low-cost sampling techniques, mining of existing open (geo)datasets, exploring the use of unstructured data ... local partners, organic micropollutant analyses using high-resolution mass spectrometry, and advanced data ... research networks to work together on global challenges Excellent research infrastructure and research data

this framework, the PhD candidate (f/m/x) will leverage the increasing amount of unstructured text data ... low-cost sampling techniques, mining of existing open (geo)datasets, exploring the use of unstructured data ... Compare public and institutional narratives with scientific evidence and biophysical data on water pollution ... research networks to work together on global challenges Excellent research infrastructure and research data

Your tasks Compile and analyse animal test data Perform high-throughput cell culture analyses and ... , biochemistry, life sciences, toxicology, or a related field Knowledge of statistical methods and data ... research networks to work together on global challenges Excellent research infrastructure and research data

low-cost sampling techniques, mining of existing open (geo)datasets, exploring the use of unstructured data ... research networks to work together on global challenges Excellent research infrastructure and research data

ERP, data warehouse, portals, Power BI).

research networks to work together on global challenges Excellent research infrastructure and research data

knowledge of oncology with a proven track record to interpret, discuss and present efficacy & safety data