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WEB/IT-специалисты: поиск клиентов

Создание сайтов, разработка web-приложений, верстка и еще тысячи актуальных предложений по работе для тех, кто тесно связан с IT-сферой. У нас публикуются только самые свежие и реальные запросы. Найти клиента тут – дело нескольких минут!
1 857 объявлений найдено за последние 3 дня
Здесь показаны примеры поиска клиентов недельной давности.
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Нужен сайт, Telegram-бот или доработка, до которой всё не доходят руки? Разрабатываю сайты, ботов и небольшие веб-приложения. Могу связать формы заявок с CRM, настроить уведомления, автоматизировать таблицы и отчёты. Берусь и за отдельные задачи в существующем проекте. Напишите в личку, что нужно сделать и что уже есть. Можно без готового ТЗ — обсудим результат, сроки и стоимость.
2 ноября 21:40
Run Google & Meta Ad for Telehealth platform in Chennai and Bangalore first and upon good result, Scale to other cities. Only Conversion for Traffic Paying the Fees for specialist doctor consultation, app download and other services. What I need from you: • A full-funnel strategy and live management across Google Ads and Meta Ads Manager. • Conversion tracking set up for web and in-app events so every booked appointment is captured. • Audience and geo-targeting tuned to Chennai & Bangalore only • Ongoing optimisation, DAILY CALLS, & DAILY QUICK REPORT, Clear weekly monthly reports in excel and actionable insights. Non-negotiable: show me you’ve done this before. Attach uncropped screenshots or a short Loom walkthrough of past Indian telehealth or healthcare campaigns that display spend in INR only, conversions and CPA so I can verify real-world performance. Done message or BID in this project without sending the above Requesting screenshot of your Previous ad campaigns (you can hide client details if NDA).
2 ноября 21:51
Индия, Бангалор; Индия, Мадрас
Ребята, кроме бота кто-то может дело подсказать?
2 ноября 15:55
RF engineer wanted for independent review of automotive GPS + digital radio LNA I have an existing RF/LNA design for an automotive application with two frequency paths: GPS and digital radio. I am looking for an experienced RF engineer to perform an independent critical design review, rather than redesigning the circuit from scratch. Main areas to review: RF architecture and signal paths Input/output matching networks LNA biasing and stability Gain and noise figure Filters and LC networks Isolation between GPS and digital-radio paths PIN diode implementation RF input protection Strong-signal behaviour and potential saturation/intermodulation Supply decoupling and grounding PCB layout recommendations Component selection and tolerances Expected deliverable: a concise technical report identifying potential problems, their severity, recommended changes, and measurements/simulations required to validate the design. Please apply only if you have practical RF hardware experience. In your proposal, briefly describe previous LNA/GNSS/RF front-end designs and the RF measurement equipment you have used (VNA, spectrum analyser, noise figure measurement, etc.).
2 ноября 16:51
I already have a live staging build of the MTL Portal running on Vercel. The stack is straightforward—React.js on the front-end, Supabase (PostgreSQL, Row Level Security, Storage, Functions) on the back-end, and everything wired together through GitHub and Vercel’s CI. The very first production release must focus on one thing: fixing the bugs that are making data saving, loading, and reporting unreliable. New features can wait; rock-solid stability cannot. What I need you to do: • Start with a quick code and schema audit so we both know the real state of the repo and the database. • Trace and eliminate the issues that cause records to disappear, overwrite, or fail to surface in reports. • Tighten error handling, add unit/integration tests where coverage is missing, and set up basic monitoring so we can catch regression fast. • Configure an automated, versioned deployment pipeline that pushes cleanly from main → staging → production in Vercel([login to view URL]). • Package every change with concise release notes and light documentation so future maintenance is painless. Acceptance criteria for the first release 1. No reproducible data loss in create / update / delete workflows. 2. Standard page loads (dashboard, detail views, export endpoints) respond in under 1 s from a warm cache. 3. Full test suite passes in CI before each deploy and the production build rolls out with zero failed health checks. Once we are live, I’d like to keep you on to tackle the backlog of new features and ongoing maintenance, but let’s get this foundation right first. Experience with React 18+, Supabase JS client, Postgres, Vercel serverless functions, and GitHub Actions will make you effective from day one. Bring opinions on best practices; I’m happy to let you take real ownership of the codebase.
2 ноября 17:51
#ищу #таргетолог Требуется таргетолог для настройки рекламы в ВК для онлайн-магазина с бьюти-боксами. Пишите с портфолио и стоимостью в лс.
2 ноября 19:41
I’m finalising a research study on explainable Vision Transformers for dermoscopic skin-lesion analysis and need a working, fully documented pipeline delivered within one week. Core workflow • Hair removal: start from an existing DM–AHR diffusion model, adapt it to the HAM10000 images, and make the code modular so I can swap parameters or update checkpoints later. • Comparison set-up: for every lesion, keep the untouched image, run it through several classical hair-removal techniques, and generate the DM–AHR result. • Classification: train and test a separate ViT model on each image version (original, every classical method, DM–AHR) so the performance impact of hair removal is crystal-clear. • Metrics & reporting: compute Accuracy, Precision, Recall, F1-score, Sensitivity, Specificity, PSNR and SSIM, then collate them in tables and clear plots. • Explainability: supply Grad-CAM heatmaps and ViT attention maps for correctly and incorrectly classified samples, with concise commentary. Deliverables – Google Colab notebook(s) that run end-to-end with a single click (dataset download, preprocessing, training, evaluation, visualisation). – Well-structured source code and helper scripts. – Saved model checkpoints and log files. – PDF/Markdown documentation explaining each step, key parameters, and how to reproduce every figure in the manuscript. – A brief video walkthrough—or annotated notebook cells—so I can confidently present and defend the methodology. Please let me know: 1. Your direct experience adapting DM–AHR or similar diffusion models. 2. How you will meet the seven-day deadline without sacrificing reproducibility. I’m ready to award immediately; looking forward to your plan.
2 ноября 14:30
#Ищу Крупный интернет-магазин ищет SEO-специалиста для продвижения товаров и услуг в поисковых системах.
2 ноября 18:59
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