Duties: Support toxicology programs for multiple research programs in the Federal Government. Apply extensive expertise in bioinformatics and toxicology. Work independently and in collaboration with multidisciplinary teams to assist the Government in such analyses
Requirements: Master’s degree in Toxicology, Biostatistics, Bioinformatics, or Life Sciences; 10+ years of experience with leading a team; Experience with Next Generation Sequencing or microarray genotype data; Experience with multi-omics data analysis and biological data annotation, curation, and data mapping

Duties: We are seeking a Machine Learning Engineer to join a innovative team that builds Generative BI features for QuickSight. You will play a critical role in developing ML systems that analyze large sets of data, extracts insights and make them available to our customers using Natural Language
Requirements: Bachelor's degree in computer science or equivalent; 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language; Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Duties: Research, assess, and test third-party bioinformatic workflows and software; Establish, test, and improve bioinformatic workflows; Establish a custom database to storage and process data generated from Human Nasal Organoid wet-lab experiments; Use computational analyses and biological interpretation of results to review existing data and propose improvements; Ensure proper documentation, accuracy and storage of all data generated using bioinformatic tools. Assist microbiologists in lab to learn documentation skills and to perform basic bioinformatic analyses using workflows
Requirements: Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field

Duties: Lösen von verschiedenen Aufgaben rund um die berufliche Vorsorge von der Konzeption bis zur Umsetzung; Versicherungsmathematische Berechnungen und Analysen; Konzeption und Ausgestaltung von Versicherungsplänen; Zusammenarbeit mit Kunden; Bestreben nach fachlicher Weiterbildung; Entwicklung der eigenen Fachkompetenz
Requirements: Abgeschlossenes Hochschulstudium in Mathematik, Naturwissenschaften, Informatik, Wirtschafts- oder Ingenieurwissenschaften; Programmierkenntnisse (C-Sharp oder andere objektorientierte Programmiersprache von Vorteil); Stilsicheres Deutsch, Fremdsprachenkenntnisse sind von Vorteil (E/F)

Duties: Modeling of fundamental electrochemical systems with partial differential equations; Development of material models for electrolytes and electrodes; Validation of the derived models using suitable experimental data; Systematic model simplification using asymptotic methods, e.g. derivation of effective boundary conditions, homogenization of microscopic models
Requirements: Candidates with a PhD in mathematics, scientific computing, theoretical physics, or related fields, and published research contributions in peer-reviewed journals are sought. In-depth scientific experience in modeling electrochemical systems with partial differential equations as well as a high interest in applications of mathematics are expected

Duties: Assegno di ricerca da svolgersi presso il Dipartimento di Matematica
Requirements: Titolo: "Sviluppo di una libreria di routine simboliche per il calcolo delle forme normali di ordine alto con applicazioni nella meccanica celeste/Development of Computer-Algebraic Library for High Order Normal Form Computations in Celestial Mechanics"

Duties: Borsa di ricerca da svolgersi presso il Dipartimento di Matematica
Requirements: Titolo: "Leveraging TinyML to use learned models in embedded control loops/Includere modelli di apprendimento automatico alla TinyML in algoritmi di controllo realizzati in dispositivi di bordo"

Workload: 100%
Duties: Join the DBT engineering team to deliver efficient and innovative solutions for the Tax and Legal business; Manage the delivery value chain and deployment pipeline with Value Owners and System Designers; Lead engineering efforts following lean, agile, and DevOps principles; Drive business impact using cloud-native data and process automation; Demonstrate proficiency in modern DevOps practices and agile methodologies; Possess technical expertise in data, process automation, with knowledge of Azure DevOps; Ensure software quality and stay informed about emerging technologies; Support the ongoing operational activities and tools that are the part of the tax and legal business ecosystems
Requirements: Proficient in modern DevOps practices, including flow management, value stream mapping, and Agile methodologies with Azure DevOps for project management and delivery; Experience with the ServiceNow ticketing system is a nice to have; Competent in data, process automation, and AI technologies; Effective English skills in translating complex technology solutions, German is an asset; Experience with flow-based Agile and continuous delivery practices; Knowledgeable in agile principles, organizational design, and Continuous Delivery methodologies; Demonstrated ability to adapt and learn new practices for continuous improvement; Proficiency in software programming languages - (C#, Python, PowerShell, or similar); Appreciation for the Power platform, as well as experience with cloud platforms (ideally Azure); Understanding of the tax and legal business domain

Duties: Entwicklung von IT-Strategien und -Architekturen; Strukturierung und Management komplexer Umsetzungsprojekte; Realisierung innovativer Protoypen und Begleitung anspruchsvoller IT-Vorhaben; Einsatz von Data-Science- und KI-Methoden und modernsten Technologien
Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Duties: The role will focus on building out machine learning solutions for WBD’s content and Ad platform. Primary focus will be on unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale; You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments
Requirements: PhD or Masters in Computer Science or related discipline; 9-13 years of experience designing, building machine learning algorithms and systems; Proficiency in programming languages such as Java, Golang, Python or Scala; Good understanding of Distributed systems, design and architecture; Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow

Duties: The position will involve a mixture of methodological and collaborative research in biostatistics, bioinformatics, and genetics. The methodological research may include but is not limited to developing novel methods for time-to-event modeling, multivariate statistics, high-dimensional and spatial data modeling. The collaborative research may include but is not limited to software tool dissemination into clinical practice and participation in the multi-institutional efforts in studying cancer. This position will require writing statistical/biostatistical manuscripts, assisting in writing biomedical manuscripts, developing/maintaining statistical software packages, and other academic activities
Requirements: The ideal candidate should have a Ph.D. in statistics, biostatistics, or a related field. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts

Duties: Developing, implementing, and regularly reviewing data strategies to ensure alignment with business objectives; Translating business requirements into strategic data solutions to drive innovation and growth; Leveraging data analysis to inform business strategy, decision-making, and process design; Driving innovation through data analysis by identifying and capitalizing on opportunities; Collaborating with various teams to incorporate their needs into data strategies and solutions
Requirements: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics; Demonstrating strategic mindset and expertise in consulting business data processes, with a proven ability in planning and executing data process strategies; Comprehensive understanding of data analysis, reporting, proficient in SQL, data query languages, and visualization tools such as Tableau and Power BI

Duties: Ideate with stakeholders to identify ML/Deep Learning opportunities for solutions; Formulate problems and translate into Data Science project requirements; Build solutions that can be easily integrated into external frameworks or existing applications; Select appropriate ML modeling techniques for complex problems with large-scale data
Requirements: Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional); Proven industry experience in solving Retail and Customer science problems; Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies; Experience leading and mentoring data science teams, Effective technical communication to non-technical stakeholders

Duties: The Artificial Intelligence Initiative (Aii) at the University of Central Florida (UCF) is accepting applications from strong candidates for multiple 9-month, full-time faculty positions at the rank of assistant professor (tenure-earning) and associate professor or professor (tenured) in core areas of AI and their applications
Requirements: A Ph.D., M.D., or equivalent degree from an accredited institution in an area appropriate to this position at the time of the appointment

Duties: The Department of Agriculture, Food and Resource Science at the University of Maryland Eastern Shore is seeking highly qualified applicants in the areas of agricultural bioinformatics and/or biostatistics
Requirements: PhD in computer science, bioinformatics, statistics or other quantitative sciences. Candidates with degrees in other relevant fields but with demonstrated experience in bioinformatics and statistics will be considered

Duties: Identify and pursue new research directions for current and emerging technologies in automated and autonomous vehicles and manufacturing robotics; Propose and lead internal research programs to extend the state of the art in localization, navigation, mapping, path planning, perception, modeling, and simulation; Mentor colleagues to raise the bar for research and development across the entire organization; Find new applications, industries, and clients for novel automation capabilities; Capture new research projects with new and existing clients
Requirements: Requires a Bachelors, Masters, or a PhD in Robotics, Mechatronics, Controls, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, or other engineering robotics-related degree; 7-12 years: Industry, academic, or government research experience in autonomous/automated vehicles or robotics in the unmanned ground (UGV), air (UAS), sea (USV or UUV), or manufacturing robotics domains

Duties: Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that significantly improve over state-of-the-art; Take advantage of the computational infrastructure of Together to create the best open models in their class; Understand and improve the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.); Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base
Requirements: Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field; Strong background in Machine Learning; Experience in building state-of-the-art models at large scale; Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations

Duties: Lead development and implementation of analytics solutions to solve business problems and optimize mission execution; Define and develop techniques to integrate, consolidate, and structure data for analytical use; Research, analyze, and document technical approaches for desired outcomes; Provide guidance in applying appropriate algorithms, solutions, and data science techniques; Develop and implement a set of techniques or analytics applications to transform massive-scale data into actionable and meaningful information
Requirements: MA/MS in Computer Science, Engineering, Mathematics, or related discipline or Equivalent; Ten (10+) years of experience with programming languages such as Python and R; and querying languages such as SQL required

Duties: Collecte de données (scraping, base de données, services web, etc.); Nettoyage et enrichissement; Analyse descriptive sur de gros volumes de données; Analyse sémantique et sentimentale; Développement de modèles ML supervisés et non supervisés; Analyse géographique; Visualisation; Architecture et modélisation
Requirements: Vous êtes diplomé d'un Master 2 en mathématiques appliquées/statistiques ou Data Science; Vous avez une expérience personnelle ou professionnelle en analyse et programmation

Duties: Develop and test bioinformatics methods (proportional to bioinformatics experience); Contribute to bioinformatics infrastructure (proportional to programming experience); Curate and maintain taxonomic and functional gene databases; Develop algorithms and applications for inferring biological knowledge from metagenomic data; Keep up to date with the latest developments in algorithms for analysis of metagenomics data and its applications in the field of agriculture/soil sciences; Perform custom analytics to investigate pipeline performance, develop new data products, or satisfy customer requests
Requirements: Ph.D. or equivalent experience in microbiology or bioinformatics; Expertise in the analysis and interpretation of metagenome data; Working knowledge of Python (preferred) or R to read code, write functions, create plots; Experience packaging and documenting code for re-use by other team members or for deployment in production; Experience creating custom reference datasets from large publicly available resources (NCBI, uniprot, etc)

Duties: Taking advantage of the computational infrastructure of Together to create the best open models in their class; Understanding and improving the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.); Collaborating with cross-functional teams to deploy your model and make available to a wider community and customer base; Staying up-to-date with the latest advancements in NLP and Computer Vision
Requirements: Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences; Strong background in Natural Language Processing or Computer Vision; Experience in building state-of-the-art models at large scale; Passion in contributing to the open model ecosystem and pushing the frontier of open models; Excellent problem-solving and analytical skills

Duties: Manage a team of highly effective researchers and engineers. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects. Develop and evaluate methods for integrating machine learning into human-in-the-loop labeling systems to ensure high-quality and throughput labels for our customers; Implement and improve on state-of-the-art models developed internally and from the community and put them into production to solve problems for our customers and taskers; Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Requirements: Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization; 7+ years of full time work experience using LLM, deep learning, deep reinforcement learning, or natural language processing in a production environment. Especially training foundational AI models through pre-training, fine-tuning, and RLHF; A vision for where the field should go and what Scale should do to enable it; Strong programming skills in Python, experience in PyTorch or Tensorflow

Duties: Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale; Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world; Perform architecture and research work for AI workloads; Analyze and improve efficiency, scalability, and stability of various system resources; Conduct design and code reviews
Requirements: 5+ years experience writing high-performance, well-tested, production quality code; Bachelor’s degree in computer science or equivalent industry experience; Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation; Expert level programmer in one or more of Python, Go, Rust, or C/C++; Experience implementing runtime inference services at scale or similar

Duties: Als Data Scientist (m/w/d) löst Du mit Hilfe von Advanced Analytics Methoden businessrelevante Fragestellungen für unsere Kunden und implementierst entsprechende Lösungen; Hierbei begleitest Du alle SAP-basierten Prozesse und Funktionen durch die einzelnen Projektphasen - von der Idee über die Konzeption und Umsetzung, den Go Live bis zum Support; Du analysierst und verarbeitest Big Data unter Einsatz von modernen Software Tools und wertest die gewonnenen Erkenntnisse zur nachhaltigen Verbesserung der Datenqualität aus
Requirements: Du hast ein abgeschlossenes Studium der Wirtschaftswissenschaften, Mathematik oder Data Science, alternativ eine vergleichbare Qualifikation mit erster Berufspraxis in der Programmierung; Du hast erste Kenntnisse in funktionalen/objektorientierten Programmiersprachen, wie C/C++, Python, R, Java oder JavaScript sowie in Cloud Technologien und Business Intelligence Tools

Duties: Als Mitglied eines agilen Teams arbeitest du kollaborativ zusammen mit deinen Kolleg: innen an spannenden und abwechslungsreichen Kundenprojekten; Meilensteine, Ziele und Status-Reports stimmst Du mit deinem Team und den Kunden ab; Dabei hast du die Projektorganisation und Budgetplanung stets im Blick; Du planst und führst Termine durch, z.B. Jour Fixe
Requirements: Bachelor/Diplom/Master oder eine vergleichbare Ausbildung/Praxiserfahrung Gute Kenntnisse im Projektmanagement und Erfahrung in der Steuerung von Projekten Hohe Kommunikationsstärke